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Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions GNC Engineer About Applied Intuition Defence Applied Intuition UK is a software and infrastructure supplier that accelerates the deployment of next-generation autonomous capabilities to the warfighter across air, land, sea, and space. A subsidiary of Applied Intuition, we deliver dual-use solutions to national security customers that build upon several years of product development and experience from commercial autonomy programs. Based in London, our seasoned defence team hails from Palantir, Anduril, SpaceX, Google, Lockheed Martin, and the UK and US Armed Services. Learn more at appliedintuitiondefense.com . About the role As a Guidance, Navigation & Control Engineer at Applied, you'll be at the forefront of defense aerial autonomy. You'll design, integrate, and rigorously test core flight autonomy capabilities across the full range of aerial UAS platforms, from agile quadrotors to long-range fixed wings. Partnering with teams across the company, you'll create and adapt GNC algorithms to the unique requirements of each program, contributing directly to our core software stack so your work becomes a reusable capability that powers every program, not just one. The mission is bold and the stakes are real: you'll be engineering the systems that give our military an unmatched edge in the skies. At Applied, you will: Write software that operates real autonomous aircraft systems including group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions Build, leverage, and improve aerial autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions Collaborate with 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware We're looking for someone who has: Master's degree in Aerospace, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science or similar field 6+ years of hands-on experience developing GNC software for autonomous systems Experience developing autonomy algorithms in C++ Experience developing or implementing outer-loop control systems or path planning algorithms Strong foundation in control theory, dynamics, and optimization, with experience applying them to real-world autonomous systems Experience developing and simulating 3DoF or 6DoF models of air vehicles to support GNC algorithm development Experience with flight testing and performing data analysis Experience with UAS GNC/navigation systems such as PX4 and Ardupilot Strong functional, procedural, data-oriented, and object-oriented programming experience Travel Requirements: General willingness to travel for company business between our offices, as well as to customer sites Security Requirements: Must have ability to hold UK Security Clearance (current or previous preferred) Nice to have: Ability to use data visualization and debugging tools to support autonomy control development Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries Understanding of key technologies: C++, Python, DevOps, Containers, Linux Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing Experience with Bazel Experience working projects related to national security for one or more government agencies References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. 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Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions About the Role We are looking for a bright, eloquent engineer to help our customers solve complex technical problems across Applied Intuition's defense portfolio. In this role, you will work closely with uniformed and civilian customers to ensure Applied Intuition's solutions deliver maximum impact in advancing the adoption of autonomous systems within the UK & EMEA Defence sector. You Will Provide Technical Pre-Sales Support: Support Multi-Domain Systems and Partnerships Leads in pre-sales activities, identifying problem-solution fit with customers and scoping technical solutions and delivery. Serve as a Technical Bridge: Act as the primary technical liaison between defence customers and Applied Intuition UK's engineering and product teams. Drive Customer Adoption: Support end-users at all stages to increase and enhance product adoption. Lead Customer Engagements: Guide technical discussions, architecture reviews, demos, and deployments with customers in both pre- and post-sale stages. Onboard and Integrate: Help customers adopt Applied Intuition's code-first developer toolchain, onboarding engineering teams onto our SDK/products and integrating them with the customers' existing infrastructure. Requirements: Clearance: UK Security Clearance, or the ability to attain it. Industry Experience: 3+ years of experience working within the Defence sector or a relevant technical domain. Project Management: Execution-driven mindset with strong attention to detail and the ability to manage multiple customer engagements in parallel. Technical Consulting: Experience working directly with customers on complex problems at the intersection of software and vehicle/autonomous systems. Education: Degree in computer science, electrical engineering, or a related field. Technical Skills: Basic to intermediate programming experience in C/C++, Python, or similar languages. Communication: Strong written and verbal communication skills in English. Nice to Have: Military Experience: Prior service in a European or allied military branch. Product Knowledge: Hands-on experience with Applied Intuition's applications. Specialized Tech Skills: Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences. Simulation & Testing: Experience with simulation environments or digital twin platforms to validate vehicle software. Cross-Functional Leadership: Project management experience in cross-functional, customer-facing programs. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. 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monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition. About the Role We are looking for a Senior Forward Deployed Engineer to join our Professional Services team in London. You will own the technical delivery of solutions that embed the monday.com AI Work Platform into a customer's enterprise tech stack through integration, custom application development, and agentic AI engineering. You will work directly with customers to turn business problems into production systems their businesses depend on. As a senior member of the team, you will set the technical direction of our most complex EMEA engagements, including outcome-based engagements where monday.com delivers a working business result. You will also raise the technical bar of the London team and help shape the global Services tooling roadmap. Please note that this is a hybrid position with three days/week in our London office. Responsibilities Own the end-to-end technical design of complex, multi-workstream engagements: architecture, integration approach, security and governance, and the path from pilot to scale. Lead technical scoping before and after the sale: break a business problem into a deliverable solution, estimate effort and risk, and shape the delivery plan and the commercial model with account and deployment strategy teams. Deliver outcome-based engagements, where success is measured by the business result in production (throughput, cycle time, manual effort removed), not hours delivered. Define the success metrics, the operating model after go-live, and how the solution keeps improving. Engineer complex and agentic AI solutions using our developer tools, including the monday.com API, MCP, and apps framework, to deliver data migrations, integrations with core enterprise systems (ERP, CRM, ITSM, data platforms), and custom applications. Lead technical consulting engagements for customers, applying industry knowledge in the areas of AI transformation, system scale, security, user governance, and data architecture. Navigate both complex engagements, where you execute defined technical scope within a delivery team, and standalone engagements, carrying customer communication, sequencing, and delivery yourself. Mentor and review the work of other engineers. Set standards for code quality, testing, documentation, and AI reliability across the team's builds. Produce the documentation, walkthroughs, and exit artifacts that let customers operate, maintain, and extend what you build. Advocate for customers with Product and R&D when their needs are not met, and help extend monday.com 's product capabilities. Contribute to the global Services tooling roadmap and shared asset library: internal utilities, reusable components, and reference implementations that make each engagement faster than the last. Requirements 5+ years as a forward deployed engineer, software engineer, solutions engineer, or technical consultant in enterprise software, with a track record of leading hands-on technical delivery for external customers in complex enterprise environments. Breadth over specialisation: a strong engineer with AI depth who is comfortable across the stack, rather than a pure frontend or backend specialist. Fluency in Generative and Agentic AI development: LLM-based workflows, agent orchestration and tool use, context and retrieval design, with AI-assisted editors such as Cursor or Claude Code in daily use. Experience keeping AI reliable in production: evaluation harnesses, guardrails, human-in-the-loop review, tracing, and the failure modes that only show up once a system is live. Strong working knowledge of APIs (REST, GraphQL), webhooks, MCP, identity management (SCIM), and authentication protocols (SAML 2.0 / OAuth 2.0). Software development experience in TypeScript and JavaScript, with depth in React or Node.js; full-stack experience preferred. Hands-on experience in enterprise data mobility and integrations: the SQL, scripts, and n8n or Workato automations that migrate and transform customer data into target systems. Production engineering practice: version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure. Experience scoping and estimating technical work, and owning delivery against an agreed outcome, timeline, or commercial commitment. Consultative range and communication skills to understand a business problem, frame a solution for senior client stakeholders, and explain technical topics clearly to a non-technical audience. Adaptability across customers, technology stacks, and unfamiliar domains, with the resilience to absorb a change of direction mid-engagement. Comfortable running several engagements at once, with strong project management habits. Positive attitude, empathy, and high energy; takes initiative and learns new technology to go where the work is. Willingness to travel up to 20% of the time. BS or BA in Computer Science, Engineering, or a related field preferred; equivalent professional experience also considered. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Company Description Since its creation in 2007 in the financial city of Frankfurt am Main, Solactive AG has grown to one of the key players in the indexing space. The German multi-asset index provider focusses on tailor-made indices, offering to its clients a faster service, with greater flexibility and at a reasonable cost. Solactive AG and its subsidiaries have become one of the fastest growing index providers over the past few years and support the leading investment banks and asset managers across the globe. We have gained global recognition for our role in the Exchange Traded Fund (ETF) industry, where we rank among the top providers worldwide for underlying indices. We also excel in diverse areas such as Structured Products and investment mandates, showcasing the wide range of our capabilities. The impact and value we bring to the market is palpable, but also in the reputation we have proudly built by being close to our customers, solidifying Solactive AG as a trusted and reliable ally in the ever-evolving global financial landscape. Job Overview Solactive's Aggregate team owns the intraday calculation of our indices: consuming live price streams, applying calculation logic across a wide range of indices, and producing a continuous output stream of index ticks throughout the trading day. The core platform is built in Java and engineered around throughput, latency, and correctness under concurrency, while custom business integrations are built in Python. As a Working Student you join a small team and contribute real, production-bound code to both, working alongside senior engineers who review your work and coach you. Your Tasks Implement well-scoped features and fixes in the Java calculation platform, such as improvements to calculation components, price stream consumption, or index tick production Write unit, integration, and performance tests, including tests for concurrent code paths where ordering and timing matter Help investigate correctness or performance issues: reproduce them, narrow them down, and propose fixes with senior guidance Build and maintain Python integrations for business teams: connectors to the calculation platform, output adapters, validation checks, and small operational tools Contribute to monitoring and developer tooling that makes calculation behaviour observable and easier to reason about Take part in design and code reviews, ask questions, and document what you learn so the next person can pick it up faster Your Profile Enrolled student in computer science, software engineering, or a closely related field Strong Java fundamentals: object-oriented design, collections, generics, and comfort reading and writing idiomatic modern Java Solid grounding in core computer science: data structures, algorithms, and complexity, and in particular a working understanding of multithreading and concurrency (threads, synchronisation, memory visibility, races and deadlocks) Openness to Python: no prior experience needed, but willingness to pick it up for integration and tooling work alongside Java Familiarity with Git, the command line, and a testing mindset; interest in measuring performance rather than guessing at it Ability to work independently on a scoped task, ask for help early when stuck, and communicate clearly in writing Available for 15–20 hours per week during the semester, more during semester breaks Interest in financial markets, market data, or index calculation is welcome but not required Our Offer Be part of the Solactive family an international FinTech environment with flat hierarchies, real ownership, and strong growth opportunities. Enjoy attractive benefits such as team events, Corporate Benefits access, a modern ergonomic office,free beverages and fruit. Work on a real, high-impact production platform and contribute to architectural improvements not just feature tickets. Gain hands-on experience with Java microservices, build systems, and dependency governance while collaborating with experienced engineers. Build practical backend engineering skills that directly support your long-term career development. Your Application This role sounds like you? Then we look forward to receiving your application. Please make sure to also upload your CV, a cover letter is not compulsory. If you have any futher questions just drop us an email! Sonia Urusaro - No artificial intelligence (AI) is used in the screening, assessment, or selection of candidates for this position. Solactive does not charge candidates any fees at any stage of the recruitment process and will never request payment for CV enhancement, interviews, training, equipment, or other recruitment-related services. Please be cautious of fake profiles or fraudulent messages claiming to represent Solactive. If you are unsure whether a communication is legitimate, contact us at Find Jobs in Germany on Arbeitnow

Für unseren Kunden suchen wir einen erfahrenen Java / Spring Boot Software Engineer auf Principal-Niveau mit ausgeprägter Kafka-Expertise. Du entwickelst hochperformante, skalierbare Anwendungen zur Verarbeitung sehr grosser Datenmengen und übernimmst Verantwortung für anspruchsvolle technische Lösungen. Deine Aufgaben: Entwicklung und Optimierung hochperformanter Backend-Anwendungen mit Java, Spring Boot und Kafka Technische Verantwortung für anspruchsvolle Lösungen sowie aktive Mitgestaltung der Architektur und des Designs verteilter Systeme Konzeption und Umsetzung skalierbarer Lösungen zur zuverlässigen Verarbeitung sehr grosser Daten- und Transaktionsvolumen Analyse von Performanceproblemen und Entwicklung nachhaltiger technischer Verbesserungen Eigenständige Erarbeitung und überzeugende Vertretung technischer Entscheidungen in Zusammenarbeit mit Architekten, Entwicklern und weiteren Stakeholdern Sicherstellung einer hohen Codequalität durch automatisierte Tests und bewährte Entwicklungspraktiken Fachliche Unterstützung anderer Entwickler sowie aktiver Wissenstransfer innerhalb des Teams Deine technische Expertise Tiefgehende, aktuelle Praxiserfahrung mit Kafka und Java , die du regelmässig in produktiven Projekten einsetzt 5+ Jahre Erfahrung in der professionellen Softwareentwicklung mit sehr fundierten Kenntnissen in Java und Spring Boot Nachweisbare Erfahrung mit hochperformanten Systemen und der Verarbeitung grosser Datenmengen Sehr gute Kenntnisse in Softwarearchitektur, Distributed Systems und Performanceoptimierung Erfahrung mit SQL, REST APIs, Docker, Kubernetes und GitLab Kenntnisse in Unit- und Integration-Testing sowie idealerweise Splunk und Citrus Abgeschlossenes Informatikstudium (Uni/FH) oder vergleichbare Qualifikation Du arbeitest selbstständig, strukturiert und lösungsorientiert Du kannst komplexe technische Sachverhalte verständlich erklären, Entscheidungen begründen und unterschiedliche Anspruchsgruppen fachlich überzeugen Sehr gute Deutsch- und gute Englischkenntnisse Dein Tech Stack: Core Technologies: Java · Spring Boot · Kafka Architecture & Integration: Distributed Systems · REST APIs Database: SQL Container & DevOps: Docker · Kubernetes · GitLab Testing & Monitoring: Unit Testing · Integration Testing · Splunk · Citrus Methodology: Scrum Generelle Rahmenbedingungen: Start: asap Pensum: 80-100% Ort: Bern (1-2 mal pro Woche vor Ort) Find Jobs in Switzerland on Arbeitnow

About us Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity. K Pro is built on Owkin's unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners. Position is based in our Paris offices or remotely in France, UK, or Germany. Please submit your CV in English About the role: We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. In this role, you will focus heavily on Large Language Models (LLMs), Generative AI, and Advanced Deep Learning architectures. You will bridge the gap between experimental data science and production-ready ML systems. Working closely with our Data Science and Engineering teams, you will scale complex models, optimize training and inference pipelines, and leverage cloud ecosystems to deliver robust biomedical solutions. Experience handling health, clinical, or omics data (genomics, transcriptomics, proteomics, etc.) is a major plus. In particular, you will: Develop scalable machine learning libraries, tooling, and research workflows in close partnership with research and data scientists. Shape research infrastructure requirements and drive tool and software choices in collaboration with the platform team. Champion software engineering best practices across the team, enabling researchers and scientists to write maintainable, testable, efficient, and scalable code. Design and enhance systems for experiment tracking, reproducibility, and end-to-end model lifecycle management. Contribute to and accelerate the rapid prototyping of novel models, helping bridge early research and robust implementation. Other Ad-hoc responsibilities, tasks and projects assigned by the management. About you Required qualifications / experience: Education: Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field with a strong focus on ML/AI. Experience: 5+ years of professional experience in software development with Python and a proven track record of deploying deep learning models into production. ML/DL Frameworks & Ecosystems: Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks. Mastery of PyTorch or TensorFlow. LLM Specialization: Deep understanding of Transformer architectures, attention mechanisms, and the latest breakthroughs in Generative AI. Extensive experience with Hugging Face, with knowledge in agentic workflows and RAG. Cloud & MLOps: Experience with cloud platforms (AWS, GCP, or Azure) and SageMaker Software Engineering Culture: Strong engineering practices including version control, comprehensive testing, CI/CD, and containerization (Docker). Workflow Optimization: Experience with distributed computing, distributed training strategies for massive datasets, and optimization of ML workflows (e.g., vLLM). Preferred qualifications/bonus: Domain Expertise: Experience working with clinical or omics data (e.g., genomic sequencing, transcriptomics, electronic health records) and medical imaging processing and analysis. Contributions to open-source ML projects or research publications. Soft skills and culture add: Collaborative Mindset: Excellent problem-solving skills and the ability to analyze complex technical challenges. Strong communication skills: The ability to explain technical concepts to various stakeholders. Mentorship: Proactive approach to debugging complex distributed systems, mentoring team members in writing high-quality, maintainable software, and driving a strong technical culture. Autonomy: primarily autonomous and capable of being given tasks without excessive detail, able to figure out what to do and execute. #LI-HB1 What we offer Flexible work organization Friendly and informal working environment Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security Please complete the form and submit your CV. Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual's desire to obtain a job and can sometimes "feel" like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. Communication is always through an official Owkin email address (from the @ owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @ Owkin.com . The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, Check the identity of the talent team on LinkedIn Check our senior team on our website https://owkin.com/team/ Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities Notify Owkin's recruitment unit at this address contact the following authorities: [FR] https://internet-signalement.gouv.fr/ [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime [US] https://reportfraud.ftc.gov/ Find more English Speaking Jobs in France on Arbeitnow

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. We are looking for an engaged and passionate Staff Engineer to join our growing engineering department and be a technical leader across our engineering teams. As a Staff Engineer , you will be responsible for driving influence across teams and domains, leading solution delivery on cross-functional and strategic initiatives, and serving as a technical leader within the engineering organization. You will ensure the set quality standards and drive the adoption of best practices in architecture, security, and DevOps. Quality, excellence, and agility drive our delivery processes and you will help us level these up. Using NodeJS and Typescript back-end stacks, appropriate for each requirement, but always hosted on AWS , we build added value and resilient services on top of voice and fully integrate with our customers' business critical tools (CRM, Helpdesk, E-Commerce, …). Your mission @ Aircall: Lead transversal, complex projects, fully autonomously from ideation to completion, starting from a high-level problem statement. Proactively communicate the technical vision across multiple teams, ensuring alignment and sharing knowledge across domains. Act as a go-to expert, providing mentorship and guidance across teams. Deeply understand multiple product domains; proactively identify improvements and advocate for customer needs across the company. Lead and define technical strategies for complex, impactful problems. Set and uphold higher quality standards and drive adoption of best practices in architecture, security, and DevOps. Writes production-ready code, finding appropriate solutions for medium complexity challenges; participates in software design discussions; demonstrates a good understanding of system infrastructure and DevOps principles; contributes to performance and quality within their scope; applies a security-first mindset. A little about you: A little about you:You have extensive experience (e.g., 10+ years) in back-end development, using TypeScript & NodeJS/Python/Ruby/Rails or other languages, with a focus on delivering for security, scalability, availability, and performance across multiple domains. You lead and define technical strategies, demonstrating a strong understanding of system design to solve complex, impactful problems. You are comfortable leading the development of complex projects affecting multiple teams and domains , driving initiatives from ideation to completion. You are an expert at identifying opportunities for new impactful initiatives. You have a deep understanding of multiple product domains and can anticipate long-term needs. You possess effective and proactive communication skills, and can collaborate with different profiles and roles to ensure cross-domain alignment. Our Tech Stack: You do not need to be familiar with all of our technical stack or any specific functional area, but you have a strong willingness to learn and adapt quickly. Typescript/Node.js, Python, REST API/GraphQL APIs, Ruby/Rails, React AWS/Serverless or EKS, PostgreSQL, DynamoDB, OpenSearch, Redis Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Find more English Speaking Jobs in France on Arbeitnow

At Scality, we build software that stores and protects the world's most critical data — running on Linux, inside some of the largest infrastructures on the planet, at exabyte scale, for organizations that cannot afford to fail. We are looking for a Platform Security Engineer to join our platform and delivery team in Paris. This is a new seat, and it exists because security work needs dedicated capacity. Absorbed as background tasks between feature tickets, it never gets the focus it deserves. You would be that dedicated capacity. This is a Linux-first, hands-on engineering role. You will not write policies for other people to implement — you will write the Python and Bash that hardens our OS, automates our vulnerability management, and proves to auditors and customers that our supply chain is sound. About Scality Scality is the leader in software-defined object storage, trusted by 1,000+ enterprises and 700M+ users worldwide across banking, healthcare, and government sectors — exactly the sectors where security posture is a purchasing criterion, not a checkbox. Industry recognition: Gartner Magic Quadrant Leader for 9 consecutive years — the only 100% software-defined storage company to hold this position since the quadrant's inception #1 on the GigaOm Radar for Enterprise Object Storage (2024), ahead of 17 competing vendors Gold Stevie Award 2025 — ARTESCA 3.0, Cloud Storage & Backup Solution category Net Promoter Score of 85 across RING and ARTESCA About the team You will join a small team of highly skilled Linux engineers responsible for delivering and maintaining ADI (Scality Autonomous Data Infrastructure), our full platform: RING (object storage), S3C (S3-compatible layer), and SCOS (Scality OS — our own Linux distribution). The team works across the full stack of infrastructure engineering — deep Linux system integration, RPM packaging, CI/CD pipelines, monitoring, and release automation. The command line is where most of our day happens, and we ship a Linux distribution to customers. How We Build We build with AI tools, in earnest rather than as an experiment. Every engineer here has Claude Code, and it is part of how we write, review, and ship code day to day. We are also designing something larger: an AI code and delivery factory — AI woven into the build and release chain itself, not just into the editor. That work is early and still being thought through rather than already solved. We expect it to become part of how we maintain the platform, and CVE remediation is one of the first places we think it fits: an automated path from advisory to assessment to a patched, tested, delivered build. If that sounds like a problem you would want to work on, this role sits close to it. One principle is not negotiable: a human owns the outcome. AI writes code here, and when it does, we own what it produces — the review, the decision to ship, the consequences, and the fix. "The tool did it" is not an explanation we accept from ourselves, and it is not one we would offer a customer. In security work that matters doubly: an answer you cannot defend is worse than no answer at all. How This Role Works Scality is building a network of security engineers across the engineering department — a security peer embedded in each development team, rather than a central security function working at arm's length from the code. You would be that peer for the platform and delivery team. Security priorities are owned by our VP of Engineering. The agenda is set at that level, with dedicated resources committed across the teams. You will not have to invent it alone — and you will have a voice in it: the engineers closest to the code help decide what goes on the roadmap. We will be straight with you: today security work competes with delivery commitments and too often loses. Naming an owner and funding dedicated people is how we intend to change that. You would help build that capability, not inherit a finished one. The team is accountable for the deliveries. Security items sit on the team's plate alongside everything else it commits to, rather than in a separate function filing tickets from the outside. You are the dedicated resource that makes them happen. While your teammates carry releases, OS compatibility, and platform features, your time is reserved for the security work. That focus is the whole reason the seat exists. You share the team's perimeter and its knowledge. Same repositories, same Jira projects, same code reviews, same sprint rituals. The engineers around you have rare, hard-earned Linux depth — OS integration, RPM packaging, boot and GRUB, CI/CD, monitoring — and you will learn the platform from them. You will have peers. Security engineers embedded in the other development teams work the same problems on different perimeters. That network is where you compare notes, share tooling, and grow into the craft. The point of the model is that security decisions get made inside the team that builds and ships the product, by someone who understands the build system rather than filing tickets against it. Your First Missions Two priorities are already on the roadmap, and they will shape your first year. 1. CVE exposure, answered before it is asked Customers in banking, healthcare, and government ask us, routinely and under their own audit obligations, whether our products are exposed to a given CVE. That will not stop — for them, asking is the compliance requirement. Today each answer is researched from scratch: a customer question becomes a ticket, the ticket becomes a hunt through SBOMs, vendor advisories, and our own configuration, and the round trip can take weeks to produce something the team is not fully confident defending. Your first mission is to invert that, so the answer already exists when the question arrives. A standing exposure record , per shipped component and per release: what the SBOM says is present, what the upstream vendor has decided (including "will not fix", which is common on RHEL 8 and often the real answer), and whether the vulnerable code path is actually reachable in our configuration Reachability over presence. A module shipped and loaded by a distribution default is not the same as a module configured on a live URL. That distinction is the difference between "vulnerable" and "no impact", and it is where the engineering judgement lives Continuous CVE detection across our repositories, vendored third-party modules, container images, and shipped RPMs Wiring detection into our existing SBOM tooling and GitHub Actions pipelines, so exposure is computed when a release is built rather than when a customer asks A defined interface with the security engineers and the customer-facing teams: who produces the technical assessment, who owns the wording that reaches the customer, and how both meet the response commitments in our customer security policy Durable capture. An assessment that lives only in a ticket comment gets re-derived next release. Findings belong somewhere queryable A remediation loop with clear ownership and response targets, integrated with how the team already works in Jira AI-assisted remediation , where it fits: from advisory to proposed patch to a tested build, with a human deciding what ships Done well, a customer's "are you affected by X?" becomes a lookup and an afternoon, not an escalation and three weeks. 2. Raising the security baseline of SCOS SCOS is our own Linux distribution — we control the kickstarts, the package set, the boot path, and the images. That is unusual leverage, and we intend to use it. You will drive platform-level hardening across the OS we ship: A hardened, defensible default configuration for the distribution Advancing SELinux enforcement across RING and S3C (work already begun on the team, which you will help carry) Supply-chain integrity: artifact provenance, signing, dependency currency, reproducible and verifiable builds Secrets and credential handling across the delivery pipeline Cryptographic posture — including FIPS 140-3 readiness, which matters concretely: FIPS 140-2 certificates move to NIST's historical list on 22 September 2026, and RHEL 9's validated OpenSSL, GnuTLS, and kernel crypto modules are the foundation we build on Compliance-driven engineering work, notably the supply-chain security expectations of NIS2 (Article 21(2)(d)) and the EU Cyber Resilience Act — translated into automation and evidence, not spreadsheets You will also contribute to what comes next: threat modelling of the platform, hardening guidance for customers, and security review of significant design changes. What We Are Looking For This is a role for someone early in their career who wants to grow into being their team's security reference. We expect to invest in you, and we expect you to keep growing here for as long as you want to — there is no ceiling built into this seat. Required Linux is your primary operating system — at work, at home, or both. You are comfortable in the terminal and you reach for a shell before a UI Roughly 2–4 years of relevant experience, or a shorter track record with unusually strong evidence of the skills below Solid working ability in Python and Bash — you will be writing and maintaining real code in a production codebase A genuine, demonstrable interest in security. We care much more about this than about formal credentials. Show it however it is true for you: CTFs, a home lab, reading advisories and CVE writeups for fun, a hardening project, security-adjacent contributions, a blog, anything real Comfortable using Git in a collaborative environment Ability to read and understand existing code before modifying it The judgement to tell a real risk from a scanner's opinion — and the instinct to check whether vulnerable code is actually reachable before calling it exposed The willingness to say plainly when you are not yet sure, rather than producing an answer you could not defend French — the team works in French day to day Written communication skills in English Nice to Have CVE triage, CVSS scoring, or vulnerability management experience Reading vendor advisories and understanding vendor triage — NVD, RHSA, Red Hat severity and will-not-fix calls Supply-chain security tooling — SBOM formats (SPDX, CycloneDX), scanners (Trivy, Grype, Syft), artifact signing RPM packaging or Linux distribution internals SELinux policy work CI/CD systems, especially GitHub Actions RHEL / Rocky Linux (versions 8 and 9) Containers (Docker, containerd, systemd units) Ansible or Salt Awareness of NIS2, the Cyber Resilience Act, or FIPS 140-3 Familiarity with S3 or object storage concepts Serious use of AI coding tools in a real workflow — Claude Code or equivalent, beyond autocomplete To Be Clear About Scope This is a software engineering role with a security mandate. It is not a SOC or incident-response analyst position, not a penetration-testing role, and not a GRC or compliance-documentation role. If what you want is to build the tooling and harden the system yourself, in code, you are in the right place. What We Offer Dedicated focus. Security is your job here, not the thing you get to after the sprint work is done Clear direction, and a say in it. Security priorities are owned by our VP of Engineering, and the team is accountable for delivering them. You would not be inventing the agenda on your own, you would help shape what goes on it, and you would be part of making it stick A network of peers. Security engineers embedded in the other development teams, working the same problems on different perimeters Work that compounds. Customer security questions are a permanent obligation, so every assessment you make reusable and every check you automate keeps paying back, release after release Modern tooling, actually adopted. Claude Code in every engineer's hands, and a real say in how AI reshapes our build and delivery chain A rare combination: security work with the leverage of owning the whole stack, down to our own Linux distribution Mentorship from senior engineers with deep expertise across Linux, storage, packaging, and distributed systems — you will not be the only person who understands your perimeter A long-term growth path toward becoming your team's security reference and a senior voice in the network Work that ships to production and runs at exabyte scale, in banking, healthcare, and government Standard French benefits: meal vouchers, Navigo subsidy, mutuelle Find more English Speaking Jobs in France on Arbeitnow

At Swile, we believe that good products can help reduce friction in daily professional life and boost employee satisfaction. Today, we provide innovative solutions in various areas such as Fintech, Travel, HR, and Employee Benefits to more than 5.5 million users in 85,000 companies in France and Brazil. As a Senior Data Platform Engineer , you will join the Data Platform team. We are an enablement team: we build the tools, standards and foundations that let every engineering team at Swile own its data autonomously. You will work at the crossroads of data, software engineering and infrastructure, in a senior team where everyone has a direct impact. As a Senior Data Platform Engineer, your mission will be to: Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products Contribute to our batch processing (Airflow, dbt) and event-driven architecture (Kafka) Define, document and promote standards and best practices Help teams adopt our tools and practices, and grow their skills Evangelize the platform vision and build relays across teams, in France and Brazil ✨It will be a perfect match if you: Have solid experience in data engineering or platform engineering, with a good software engineering culture Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others Have worked with some of these: Python, Ruby, Airflow, Kafka, Snowflake, dbt, Terraform Are autonomous, communicate clearly, and enjoy collaborating with and supporting other teams Are curious about new tools and practices, including AI (no expertise required) Speak good English (we work daily with our teams in Brazil) You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance. 📓 One thing worth to be mentioned We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself. ⚒️ Our tech stack Ruby/Rails, Typescript/Node.js Terraform/Terragrunt, Python, SQL, dbt AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake 💡What's in it for you ? An opportunity to integrate a dynamic team of talented engineers. A broad role with direct impact on how many teams work at Swile. Competitive salary and benefits package. Professional development and career growth opportunities. Find Jobs in France on Arbeitnow

At Swile, we believe that good products can help reduce friction in daily professional life and boost employee satisfaction. Today, we provide innovative solutions in various areas such as Fintech, Travel, HR, and Employee Benefits to more than 5.5 million users in 85,000 companies in France and Brazil. As a Senior Data Platform Engineer , you will join the Data Platform team. We are an enablement team: we build the tools, standards and foundations that let every engineering team at Swile own its data autonomously. You will work at the crossroads of data, software engineering and infrastructure, in a senior team where everyone has a direct impact. As a Senior Data Platform Engineer, your mission will be to: Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products Contribute to our batch processing (Airflow, dbt) and event-driven architecture (Kafka) Define, document and promote standards and best practices Help teams adopt our tools and practices, and grow their skills Evangelize the platform vision and build relays across teams, in France and Brazil ✨It will be a perfect match if you: Have solid experience in data engineering or platform engineering, with a good software engineering culture Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others Have worked with some of these: Python, Ruby, Airflow, Kafka, Snowflake, dbt, Terraform Are autonomous, communicate clearly, and enjoy collaborating with and supporting other teams Are curious about new tools and practices, including AI (no expertise required) Speak good English (we work daily with our teams in Brazil) You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance. 📓 One thing worth to be mentioned We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself. ⚒️ Our tech stack Ruby/Rails, Typescript/Node.js Terraform/Terragrunt, Python, SQL, dbt AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake 💡What's in it for you ? An opportunity to integrate a dynamic team of talented engineers. A broad role with direct impact on how many teams work at Swile. Competitive salary and benefits package. Professional development and career growth opportunities. Find Jobs in France on Arbeitnow

About Nabla We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! Early Careers: Software Engineering & Machine Learning We're looking for early-career engineers who want to learn fast, work with experienced mentors, and make a real impact from day one. You'll join a collaborative, mission-driven team where technical curiosity and humility matter as much as skill. Location: Paris (Hybrid) Start Date: 2027 (or as early as possible) Commitment: Internship-to-hire What we Offer Real Impact from Day One: You won't be stuck with small tasks: you'll contribute to real features and products. Learning Everywhere: We believe in mentorship, pair programming, and leveling up together. Lean, Ambitious Team: Be part of a fast-moving, deeply technical culture where your contributions matter. Healthcare Mission: Help doctors, nurses, and care teams spend more time with Patients Career Launchpad: Many interns convert to full-time, and early engineers grow quickly. We work across multiple domains: Apps: Web app, frontend logic, UI/UX Platform: Backend services, infrastructure, APIs Core (ML): Algorithms, models, data systems Your DNA Currently pursuing or recently graduated in Computer Science, Engineering, Applied Math, or a related field . Comfortable coding in at least one: Java, Kotlin, Python, or TypeScript . Passionate about AI, data, or building meaningful product features. Curious, collaborative, and excited to learn. Humble and resilient — you ask questions, take feedback, and grow. Nice-to-Haves (but not required) Internship or personal projects in AI, full-stack, or backend systems. Experience with React, GraphQL, or cloud infrastructure. Knowledge of CI/CD, Docker, or automated testing. You'll see us on campus at: Télécom Paris Forum Trium ENSIMAG CentraleSupélec École Polytechnique EPFL Forum Organisation Meet us there and tell us what excites you. Life at Nabla When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed. We come to work excited to leverage AI to do more for clinicians. We're obsessed with our users' satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it's a feature our users asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes. We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), enjoy regular off-sites to gather the team, and travel to see each other in places like NY, Paris, San Francisco, and many other vibrant cities. Oh, and we're constantly snacking on chocolate or nuts! If this sounds like an environment you'll thrive in, we look forward to reading your application! Our Values at Nabla Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion. Every day is a new chance to excel We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday's failures and do better every day. Stay humble There's no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture. Feedback is a gift We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions. Committed to diversity We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work. Diversity & Inclusion Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond. As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive. Avoid recruitment scams: Stay safe and informed There is an active employment scam which is now using Nabla to collect personal information or financial scams. If you're contacted by a Nabla recruiter, please ensure whomever is contacting you truly represents Nabla and is utilizing a nabla.com email address. We will never ask for the exchange of any money or credit card details during the recruitment process. Nabla utilizes a hiring platform for all applications; please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Nabla. You can find more information following this link . Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla. Find more English Speaking Jobs in France on Arbeitnow

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Why join Dataiku? Dataiku's on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github , you can also take a look at the Gallery , a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you'd like to know more about it, you can watch the demo here or try the free version here . How you'll make an impact At DKU, we have multiple engineering teams focusing on various aspects of the software, including AI/ML, MLOps, Data Preparation, Data Visualization, and Cloud Platform. Each team offers internship opportunities where you'll work on specific features with direct impact on the final product. During the interview process, you'll receive detailed information about the available features and their contribution to the overall project. As an intern, you will be working with more senior software engineers every day on a potential future feature of our product. With guidance and support, you will be able to code, debug, optimize, and document your work while learning how to deliver qualitative work. The stack may differ from one internship to another, but the global stack of Dataiku is Python/Java for the backend and Angular/Vue/React for the frontend. Here are some examples of previous projects our interns worked on: Unsupervised models: Improve the tooling available for data scientists to train unsupervised (clustering) models in Dataiku If time allows, extend further to optimize the training and inference of those types of models Webapp vibe coding: Build an intelligent "vibe coding" assistant that interprets a user's intent and aesthetic preferences to automatically generate functional web app code Prototype and refine techniques that translate natural-language descriptions into usable web components, accelerating web app development for users without deep front-end expertise Dynamic model management: Improve management of AI models accessible on already-deployed software to unlock new capabilities without upgrading Leverage Dataiku's LLM Mesh and accelerate customer adoption, helping shape Dataiku's strategy for agentic AI in the enterprise AI-powered code generation: Develop and integrate more low-setup code completion features into Dataiku's embedded code editors As a time-permitting extension, investigate and potentially implement more AI-powered code generation capabilities to further enhance the coding experience Flow Search: Significantly enhance the search and filtering capabilities for Dataiku's complex data pipelines by introducing advanced operators Implement this powerful search feature by defining a formal query grammar, building an Abstract Syntax Tree (AST) to parse user input, and developing a user-friendly interface with live autocompletion and intelligent error feedback Internationalization: Actively contribute to the internationalization of the Dataiku platform by allowing faster translation of new and existing software components into various languages beyond English Improve and optimize the entire internationalization workflow by implementing technical solutions such as lazy loading for resources, automating translations with LLMs, and developing tools for automated error detection Files Processor: Develop a versatile, all-in-one file processing tool within Dataiku to perform a wide range of transformations and filtering on unstructured data, such as resizing images, converting documents (e.g., DOCX to PDF), and more Streamline data preparation workflows by embedding these file manipulation capabilities directly into Dataiku pipelines, improving user efficiency and reducing the need for external tools Geo-Grouping: Develop and implement a new geospatial transformation tool within the Dataiku platform to compute the convex hull of sets of geometric shapes (points and polygons) Enhance Dataiku's capabilities by enabling customers to geo-group their data, unlocking advanced spatial analytics for use cases in fields like retail and logistics Cloud Engineering: Contribute to the launchpad SaaS portal of Dataiku, building full-stack features and leveraging Kubernetes to deliver scalable, secure instance management for companies Improve platform reliability and developer confidence by implementing safe rollouts (feature flags), deep observability (tracing, metrics, dashboards), and broader automated test coverage What does the hiring process look like? Initial call with a member of our technical recruiting team (30 min) with a presentation of various internship subjects Technical assessment to show your skills (take-home test) Discussion with the technical recruiter to select the internship topic (15-30 min) Video call with your future manager (1h) Benefits and Perks: Ideal location: we are based in the heart of Paris in Gare de Lyon 50% reimbursement on Navigo Transport pass and up to 5 paid leaves Free breakfasts, snacks, and drinks in our office every day and access to the office canteen Opportunities to work with a unique mix of talents and fast career opportunities A great place to learn: you will master the key skills of the tech world Be part of the AI revolution and learn how we support our customers What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here. Find Jobs in France on Arbeitnow