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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Core Financial Products Engineering team's mission is to build secure, scalable systems that power Robinhood's key financial offerings and help democratize finance for all. We focus on reliability, correctness, and innovation while working closely with product, design, and data teams to deliver value to our users. As a Software Engineer , you'll help design, build, and maintain backend infrastructure and services critical to our financial products. You'll gain deep insight into how the U.S. financial system works, strengthen your domain knowledge, and make a tangible impact on millions of users. This is an exciting opportunity to contribute to highly visible features and evolve our platform in meaningful ways! This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What You'll Do Design, build, test, and release backend systems with high correctness, reliability, and scalability requirements Own and maintain key services that power our financial product ecosystem Collaborate with cross-functional teams to solve complex engineering and business challenges Interface with external financial institutions to integrate services and expand capabilities Contribute to shaping engineering best practices and improving developer workflows What You Bring 6 Months - 2 Years of Hands-on software engineering experience through previous roles Proficiency with Python/Django or Go (or similar backend technologies) Solid understanding of relational databases and transaction-safe design Curiosity and interest in financial systems or a strong desire to learn Strong computer science fundamentals and a problem-solving mindset What We Offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $128,000—$150,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $113,000—$132,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $100,000—$117,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

As a Production Engineer, you will play a key role within our Test Engineering team, programming test software and documenting test procedures to scale production of our next-generation drone platforms. In this position, you will take ownership of verification and production test equipment, from defining test concepts to designing automated test solutions, jigs and needle-bed adapters that help us improve yield and reliability. You'll collaborate closely with our software and electronics engineers and OEM partners to enhance test coverage and reduce testing time, driving efficiency across our manufacturing process. This is a hands-on role in a fast-paced, agile environment, offering the opportunity to design creative, practical test solutions from concept through to mass production. This involves balancing the transition from our existing test setups to more scalable and complete solutions in a pragmatic and iterative way for a number of different projects. Beyond test engineering, you'll apply your software expertise across the broader hardware and software team by supporting the engineering validation efforts of new products. You will also visit OEMs to support new product integrations and support small scale engineering runs in person. Responsibilities and Duties Research, design and build test solutions, including auto generated, 3D printed test equipment and CNC milled custom test jigs, and needle-bed adapters to enable low-volume prototyping and mid- to high-volume PCB production. Plan and execute product verification, covering test case definition, execution, analysis, and comprehensive documentation, also for repair guidance. Write Python code and STM32 firmware to test our embedded products from the inside (selftest) and outside (via test fixture). Collaborate with cross-functional engineering teams by offering technical guidance and hands-on support for testing and validation of advanced avionics PCBs and modular systems. Specify and document additional manufacturer tests (like flying probe) to allow for a layered, holistic approach to test coverage. Write Repair Guides that document the error cases and the affected components. Guide manufacturers with new product integrations usually in person in the factory. Manage tracking systems across multiple locations to inspect the product workflow. Support internal CI systems with real hardware to validate test procedures before upgrading test fixtures at OEMs. Qualifications and Skills Bachelor's or Master's degree in Electrical Engineering, Computer Science or a related technical field. Proficiency in modern Python and C/C++ also applied to embedded systems. 5+ years of experience in programming software that runs on real hardware and testing it on real hardware. CAD experience (e.g., Onshape) and soldering skills are required. Practical experience in Linux, microcontroller programming, 3D printing, and related prototyping tools. Pragmatic, solution-oriented mindset. Good verbal and written English communication skills. Benefits Flexible working hours Stock Options Generous holiday allowance Company pension plan Car parking Enhanced maternity & paternity leave Mental health and wellbeing support Learning and development opportunities About Auterion We are building the leading software and electronics platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters. Find more English Speaking Jobs in Switzerland on Arbeitnow

At Vio we believe booking accommodation should feel smart, fair, and effortless — never overwhelming or unclear. As one of the world's fastest-growing travel tech platforms, we help millions of users make smarter travel decisions by comparing stays across 100+ booking sites — so they can find the perfect place, at the best price, anywhere in the world. We cut through the noise and complexity of hotel and vacation rental booking, surfacing real value with clarity, transparency, and full support. No tricks. No confusion. Just great stays — booked with confidence. With operations in 100+ markets and growing fast, our mission is to reshape how people discover and book accommodation through technology travelers can trust. Who we're looking for We are looking for a hands-on Quality Platform Lead to own Vio's quality strategy and automation platform across web, mobile, browser extensions, internal tooling and related surfaces. This is a technical leadership role (Staff IC) reporting to the Director of Engineering. You define what good looks like for quality, decide where scarce testing effort goes, and give teams the confidence to ship. Your levers are release gates, quality telemetry, and a developer experience that makes the right tests easy to write and keep alive. Product engineers own the tests for the features they build. Your remit is the platform, the strategy and the enablement that make that work hold up at scale. There is no QA department here and we have no plans to create one. Where you'll start Web: Playwright, Checkly, BrowserStack Mobile: Patrol (Flutter) Coverage gaps across white-labels, browser extensions, widgets, APIs and internal tooling Web: Playwright, Checkly, BrowserStack Mobile: Patrol (Flutter) Coverage gaps across white-labels, browser extensions, widgets, APIs and internal tooling The tooling can stay as it is. With a clear case you can migrate or rebuild. E2E coverage today is thin, so a different platform is genuinely on the table if it serves speed, maintainability and DX better. We have no predefined answer. AI-assisted tooling is an open area too. We have no established practice for agent-generated tests or AI-assisted triage, so your judgment on what earns a place in the platform carries real weight. What we lack today is clear ownership of strategy, release gates and shared quality telemetry, plus a low-friction path for engineers to spend their testing effort on the highest-risk scenarios. How the role works Your time splits between hands-on platform work, enablement, strategy and stakeholder telemetry. One insourced QA Engineer supports you. You own the technical direction, the standards and the quality outcomes. Once the platform has low friction, product engineers write and maintain the tests for the domains they own. You enable that through patterns, docs, reusable modules, CI checks and risk-based guidance. Gatekeeping releases sits outside the role. Expect no direct people-management responsibilities in the near future. Any further QE hire gets evaluated against the ~1:50 rule once the value is proven, and we have no committed headcount plan beyond that. What you'll own Quality strategy and platform Own the quality strategy and the automation platform across products, covering direction, standards and day-to-day health Decide whether to keep, evolve or replace the current tooling, with clear trade-offs on speed, maintainability and DX Set coding standards and patterns for test code, and keep the suite focused on the tests that earn their place Release gates and telemetry Build automated release gates into CI/CD and define what protects the core journeys Give Product, Engineering and leadership real-time quality telemetry on release readiness, risk and pipeline health Put failure triage and flaky-test quarantine in place, so every failure is worth acting on Risk-based coverage and testability Work with Product and Engineering to protect high-impact journeys and APIs Retire flaky and low-value tests, and concentrate effort where the risk is highest Act as the technical stakeholder for testability (hooks, mocks, contract tests, test data) and get those improvements onto team roadmaps Developer enablement Make it easy for product engineers to write, run and maintain tests locally and in CI Embed quality into how teams plan and ship, and mentor the insourced QA Engineer Drive a measurable increase in developer satisfaction with quality tooling and DX What success looks like in 12 months Platform ownership. You have taken over the automation platform across products and own it outright, with direction, standards and health all unambiguous, whether you kept the tooling or replaced it. Gates and focus. Release gates on the core journeys are fast and deterministic, and testing effort sits on the highest-risk scenarios. Dev ownership and satisfaction. Writing and maintaining tests is a routine part of Definition of Done, and developer satisfaction with quality tooling and DX has measurably improved. Telemetry. Eng and Product work from live release-readiness and risk dashboards, failures triage cleanly, and flaky tests go into quarantine. Less manual drag. Regular releases go out without manual testing, with exploratory testing reserved for major new work. Who you are You have a track record of building or overhauling automation platforms (SWE / QE / SDET) You write production-grade code across app, test and infra repos. Language matters less to us than depth, though our stack today leans on TypeScript/JS, Elixir, Go, Python and Dart. You use AI agents effectively in your own engineering workflow and can judge where they belong inside a quality platform, from test generation to failure triage You have cross-platform web and mobile automation judgment, and can weigh unified toolchains against separate ones objectively You have deep CI/CD and test infrastructure experience: GitHub Actions, device clouds, parallelisation, test data You can translate quality risk into telemetry and decisions that Eng, Product and leadership act on You are a hands-on builder who wants to code the platform yourself You design platforms developers adopt, and you prioritise risk-based coverage Trade-offs we accept: depth on one platform when the other is learnable, and no travel or booking domain background. Why join us now? Full ownership of the quality strategy and the automation platform, with a mandate for enablement We are one of the most innovative and fastest-growing accommodation booking platforms in the world today, having grown our bookings 30x between 2017 and 2025, and catering to the needs of over 100 million unique visitors worldwide each year. We do that by harnessing the power of advanced algorithms and an innovative suite of power features and managed to overcome the corona crisis remarkably fast ; The mobile applications ( iOS and Android ) we launched in 2023 are already a big success, reaching 5 million installs with great customer reviews, as we are beginning to build Vio as the brand for value-seeking travellers worldwide; We are a passionate and diverse team of tech enthusiasts and creatives with a commitment and focus on the traveler above all else - and it shows in our industry-leading TrustPilot score ; We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees. Do you want to know if Vio is the right place for you? Find out by reading about the attitude that thrives at Vio. What we offer: Plenty of chances to learn and grow within an open, diverse culture which promotes knowledge sharing, trust and transparency; A great compensation package, perks and benefits (including significant stock appreciation rights); Flexible time off (take as many holidays as you need) and a chance to work remotely; You will be part of a highly international team that enjoys working, eating and playing together in one of the best office locations in Amsterdam; We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden; We enjoy getting together to celebrate our wins with company events in Amsterdam and abroad; A budget for your dream home office; Access to free mental health support via OpenUp . Find Jobs in Netherlands on Arbeitnow

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic Security is one of the fastest-growing parts of our business, and our customers (including government and public sector organisations) rely on our Security Solution to modernise their SOC, threat detection, and response capabilities. You will lead the hands-on delivery of Elastic Security projects (new implementations, migrations, and use-case expansions) from discovery through architecture design and build. Along the way, you'll develop trusted relationships with senior stakeholders and work closely with our Services, Engineering and Sales teams. Elastic is a remote-first company, but many of the projects you'll deliver might require onsite availability, making the role hybrid in practice, varying by project, with travel of up to 60%. Some of these engagements, given the organisations involved, also require national security screening or clearance; eligibility to obtain one in your country of employment is a strong advantage, and Elastic will sponsor the process where required. What You Will Be Doing Assess and Design Analyse customer goals, pain points, existing architecture, and threat landscape, translating them into technical requirements Design Elastic Security solution architectures (SIEM, endpoint, cloud security) that integrate with the customer's wider security ecosystem Advise on the customer's security strategy and own the Elastic side of it, aligning recommendations through regular sessions with senior and key stakeholders Implement and Deliver Lead hands-on delivery of Elastic Security projects end-to-end, including greenfield deployments and migrations from legacy SIEM/EDR platforms in mission-critical environments Deploy and secure the Elastic platform: cluster architecture, RBAC and role mapping, single sign-on, private connectivity (private links, VPC peering), and hardening for enterprise and government environments Architect and build large-scale data ingestion with Elastic Agent, Beats, and Logstash, normalising data to ECS and integrating sources such as Kafka, Azure Event Hub, and AWS S3 Develop security content aligned to the customer's threat landscape: detection rules, dashboards, and alerting workflows Drive security migrations from competing platforms, applying deep knowledge of Elastic's capabilities to translate each use case into its best form, whether through feature parity mapping or full redesign Establish detection-as-code practices for customers managing detections programmatically: developing, testing, versioning, and deploying detection content with Python, Git, and CI/CD pipelines Apply and enable Elastic's Agentic AI capabilities (AI Assistant, Attack Discovery, agent-driven workflows) to accelerate customers' detection and response Grow and Collaborate Identify and deliver new security use cases as customers mature their cyber defence journey with Elastic Deliver engagements on time and within the agreed Statement of Work (SOW) scope, surfacing opportunities for follow-on work Communicate confidently with stakeholders from SOC engineers up to CISO / C-suite level Partner with Elastic Sales and pre-sales to assess technical risks and shape opportunities Feed field insight back to Elastic Engineering, Product Management, and Support to drive feature enhancements Mentor and share knowledge with fellow Elastic consultants across a highly distributed team Lead or assist with demos and proof-of-concepts that showcase the value of the Elastic Stack, and deliver enablement sessions and hands-on workshops that make customer teams self-sufficient What You Bring Along Minimum of 5 years' experience as a Consulting Architect, Senior Consultant, or in a senior IT technical leadership role, delivering and executing professional services engagements, ideally in the security domain Solid experience deploying Elastic Security or comparable SIEM platforms (e.g., Splunk, MS Sentinel, QRadar, ArcSight) and/or EDR platforms (e.g., CrowdStrike, MS Defender), or at least 2 years as a Security Analyst / Detection Engineer in a threat detection and response role An architect's view of the security ecosystem across varied customer environments: SOAR, vulnerability management, penetration testing, ticketing, and security policies, and how they connect in a SOC Scripting skills, ideally in Python, and exposure to modern delivery practices such as Infrastructure-as-Code and CI/CD are strongly preferred Hands-on experience with Linux and Windows operating systems, and on-prem and/or public cloud platforms (AWS, Azure, GCP) Strong customer advocacy, relationship-building, and communication skills, with the ability to pivot easily between delivery and strategic engagements Eligibility to obtain national security clearance in your country of employment (screening sponsored by Elastic where required) Willingness to travel and work onsite with customers (up to 60% of the time), combined with comfort working remotely in a highly distributed team Strong proficiency in both English (our company-wide operating language) and the local market language. Bonus Points Experience with advanced Elasticsearch operations: cluster architecture, shard management, data ingestion, and data tiering at scale Experience with detection-as-code: authoring, testing, and versioning detection content managed in Git Experience automating deployments and lifecycle management with Python, Terraform, and CI/CD tooling (e.g., GitLab pipelines) Experience deploying and operating containerised workloads on Kubernetes, cloud-managed or self-hosted (EKS, AKS, GKE, OpenShift) Experience with Agentic AI and LLM-based security workflows: AI assistants, automated triage, and agent-driven investigation Experience as a Tier-2/Tier-3 SOC Analyst, Threat Hunter, or DevSecOps Engineer Experience in large distributed environments or MSSPs, from architecture through deployment Experience delivering enablement sessions, technical workshops, or product training to technical audiences Elastic Certified Engineer certification, or security certifications such as GIAC or CISSP #LI-PF1 Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. 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About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Hundreds of engineers and thousands of freight operators around the world rely on Flexport's internal systems every single day to keep billions of dollars of freight moving. Keeping those systems — and the people who use them — secure is not a compliance checkbox. It's the core infrastructure for a company operating across 112 countries. The PSI (Platform, Security & Infrastructure) team is looking for a Senior Security Engineer to own the security of Flexport's corporate environment: endpoints, identity systems, internal networks, and the SaaS estate. This is a security engineering role, not an IT support role, and not a role where you write policies and hope for the best. You'll build, automate, and be on the ground when things get real. What You'll Do Endpoint & SaaS security Own and mature our endpoint security stack (EDR) across macOS and Windows fleets , writing device policy as code — configuration profiles, remediation scripts, and enforcement rules — with staged rollout and rollback built in. Own security configuration and monitoring for Flexport's critical SaaS applications (Google Workspace, Slack, and similar) through SSPM tooling, catching risky OAuth grants and configuration drift before they become incidents. Access management Drive Flexport's identity posture: SSO coverage, phishing-resistant MFA and passkey rollout, SCIM lifecycle automation, and least-privilege access across the SaaS and cloud estate. Lead Flexport's zero-trust journey — making sure the right people have the right access, with the right controls, verified continuously. Detection & response Build and tune detection rules in our SIEM , turning signal into actionable alerts, not noise. Lead incident response for security events: triage, contain, remediate, and write the retrospective. Vulnerability & risk management Run regular assessments of corporate endpoints and prioritize findings by real business risk. Manage vendor and third-party security reviews , working with procurement and legal to evaluate risk before it lands in our environment. Security enablement & leadership Partner with IT, Engineering, and People teams to embed security into the way we work without creating friction that drives people to workarounds. Develop and maintain runbooks, playbooks, and internal documentation that make the whole team more capable, and mentor engineers earlier in their career. Bring a point of view on how agentic AI tools and browser-based AI assistants change what corporate security needs to watch for . You Should Have Typically 5–8 years of experience in enterprise security, corporate IT security, or information security engineering — we care more about what you've built than the exact number. If you meet most of this, apply. Strong working knowledge of endpoint security tooling: DLP (Cyberhaven, Purview, Varonis, or similar) and EDR (CrowdStrike, SentinelOne, or similar). Practical SIEM experience , writing detection logic, triaging alerts, and reducing false positive noise. Experience leading or playing a significant role in security incident response. Working knowledge of cloud environments (AWS, GCP, or Azure). Nice to Have Experience with network security in a cloud-first environment (ZTNA, SASE, DNS filtering). Hands-on experience with infrastructure-as-code tools (Terraform) for security configuration management. Familiarity with SCIM, OIDC, and fine-grained authorization at scale. Experience working in a high-growth, global technology company. Scripting skills in Python, Bash, or similar, for automating detection, response, and operational tasks. Exposure to privacy regulations relevant to a European and global context (GDPR, etc.). How We Work We come to the office 3 times a week to hang out, whiteboard, and ship together. We have the latest hardware and software, including frontier AI models on day one. We're agile, but not dogmatic. Teams decide how they work best. Why This Role Is Special Broad ownership: you're not a cog in a large security org — you own the corporate security posture end to end, from endpoints to observability to incident response. Real stakes: Flexport operates in 112 countries with a global workforce. Security here matters at a genuine scale. Build, don't just operate: we want to automate and engineer our way to a stronger posture, not just run playbooks. You're part of PSI: the platform, security, and infrastructure teams work hand in hand at Flexport. We value engineering quality and treat security as infrastructure, not just policy. We sponsor visas for the right candidate. What's in it for you An opportunity to contribute to one of the fastest-growing companies, where you'll have the chance to create a global impact while being part of a thriving multinational environment. Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on a daily basis. Commute expenses: Flexport will cover home-office commuting costs for employees living outside of Amsterdam. 25 working days as vacation days based on full-time employment. Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport. A defined pension contribution scheme. Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success. Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members. Parental leave benefit: Flexport is here to support you and your family during one of the most important times in life — the birth of a child. Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child. #LI-onsite #LI-YK1 Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information. Find more English Speaking Jobs in Netherlands on Arbeitnow

About the Position: We are looking for a Security Engineer to support, automate and continuously improve the secure configuration of our enterprise assets. In this role, you will be the central point of contact for hardening standards, access controls, and the protection of our IT infrastructure against common attack vectors. You will work closely with various teams and locations to implement security requirements in a practical and sustainable way. Your Responsibilities: Configuration Standards: Develop, maintain, and harden the security configuration standards for end-user devices, servers, network components, and software (on-prem/SAAS) Identity and Access Management: Manage and oversee centralized Identity and Access Management throughout the account and employee lifecycles, including account provisioning, modification, and deprovisioning during onboarding, role changes, and onboarding Compliance Monitoring & Audits: Conduct recurring control reviews to verify that approved security processes, technical specifications, configurations, account management practices, and access controls are implemented and operating effectively across the organization Security Automation: Automate configuration validation and remediation, and integrate security-baseline checks into infrastructure provisioning and deployment workflows Collaboration: Work closely with various teams and locations to implement and oversee the above security measures in practice Your Profile: 5+ years of expertise in IT security with relevant exposure to configuration and hardening 2+ years of practical experience implementing security frameworks and standards, such as CIS Controls and Benchmarks, NIST guidance, and ISO/IEC 27001 Solid knowledge and practical experience of hardening operating systems (Windows/Linux/Mac) and network components 3+ years of experience with Identity & Access Management concepts (roles, permissions, recertification) Page 2 of 3 Familiarity with configuration management or compliance tools Analytical and strategic thinking Independent working style and initiative Strong communication skills Fluent English and German would be beneficial Beneficial skills: Scripting skills (Python, PowerShell, or Bash) Knowledge with endpoint protection platforms (EDR/XDR) Security Monitoring, Investigation, and Threat Detection Experience integrating automated configuration, hardening, and compliance checks into infrastructure provisioning and deployment pipelines Any Relevant Certifications What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find more English Speaking Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Eugenia Riger, Senior People Operations Manager Find more English Speaking Jobs in Germany on Arbeitnow

In a nutshell Build the intelligence that helps households get the week sorted Agentic grocery assistance: Picnic brings together something unusually powerful for an AI builder: a direct customer relationship, a live grocery assortment and the operational system that takes every order from intention to delivery. That gives you the opportunity to build an assistant that does more than talk; it can understand a household's plans and constraints, assemble a grounded basket, explain its choices and learn from what customers accept or change. You will decide where models, retrieval, ranking and deterministic services add real value, balancing customer control, correctness, latency, reliability and cost. Technical leadership & vision: As a Staff AI Engineer, you will be the hands-on technical lead for Agentic Shopping. You will own technical direction, architecture and model-strategy decisions; solve the hardest production challenges yourself; and establish evaluation, observability, safety and fallback patterns that other teams can reuse. Tricks of the trade Build Picnic's shopping assistant: Lead the technical direction for agentic shopping experiences that help millions of people plan and shop effortlessly. Technical leadership & architecture: Lead the system architecture for multi-turn conversational agents, balancing latency, safety guardrails, and inference costs. Technically mentor engineers across the organization to execute on building production-grade agentic systems. Rapid prototyping & productionization: Drive a fast-paced, iterative engineering cadence. Build initial prototypes, establish architectural patterns, and write production code when necessary to unblock complex technical challenges. Model fine-tuning & context engineering: Design and implement systems architectures for multi-turn, conversational agents using open-weight models and techniques like fine-tuning, distillation, and RAG. Evaluation & safety feedback loops: Establish continuous offline and online evaluation for mission completion, basket correctness, customer effort, clarification quality, acceptance and corrections, safety, reliability, latency and cost. Cross-functional alignment: Collaborate with product, design, and product teams to define technical trade-offs, align on agent capabilities, and ensure a seamless, safe user experience. We're looking for Proven track record of taking complex multi-turn conversational AI systems from architectural design to high-scale production. Experience training, fine-tuning, and optimizing open-weight LLMs for production deployment. Hands-on expertise building production RAG systems, context management, and state handling for multi-turn dialogues. Experience designing robust evaluation loops, continuous monitoring systems, and automated safety/guardrail mechanisms for customer-facing applications. Demonstrated ability to lead technical direction, perform design reviews, and mentor engineering teams without relying on hierarchy. Strong Python skills and demonstrated ability to choose and productionize appropriate model, orchestration, retrieval, evaluation and inference tooling. Experience with tools such as PyTorch, LangGraph, vLLM, Pydantic AI, Qdrant or DeepEval is useful, or similar framework tools is required. + Bonus points! Experience taking retrieval, ranking or recommendation models from problem definition to measurable production impact In-depth expertise in deep learning for sequence modelling, representation learning, or retrieval and ranking A degree in Computer Science, AI (or a related field), a PhD, open-source contributions, or peer-reviewed research are considered strong pluses Picnic Perks 🫱🏼‍🫲🏾 Teamwork makes the dream work With more than 80 nationalities across 3 countries, you'll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! 💡 Make a difference You'll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you'll also be contributing to making the world a better place! 🥗 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. 🚲 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate 🌎 Relocation If you're moving from another country to join Picnic we make it as smooth as possible for you. We'll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 📆 All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. Find more English Speaking Jobs in Netherlands on Arbeitnow

À propos de Decathlon Decathlon aspire à devenir la meilleure plateforme numérique sportive et l'écosystème ouvert du monde. Nous voulons permettre aux clients de vivre l'expérience Decathlon à travers de nombreuses expériences locales centrées sur le sport en connectant de nombreux acteurs et services tiers, de manière sécurisée et performante. Nos équipes numériques basées à Lille et Paris(et plus encore…) regroupant plus de 5000 collaborateurs, sont unies pour concevoir et développer des produits numériques avec l'objectif de toujours offrir la meilleure valeur à nos utilisateurs. Présent dans plus de 70 pays, Decathlon s'engage pour l'innovation, la durabilité et la satisfaction client. Description du Poste Notre équipe PRISM (Supply Chain) recherche un·e IA Engineer basé·e à Paris. En tant qu'IA Engineer dédié au déploiement d'agents, vous serez au cœur d'une équipe technique resserrée. Vous jouerez un rôle critique dans l'industrialisation, le déploiement et le suivi de nos capacités agentiques. Vous travaillerez en étroite collaboration avec les équipes numériques (Data, Produit, Ingénierie) pour architecturer l'infrastructure de déploiement, concevoir le routage de l'intelligence et construire une infrastructure sécurisée permettant à nos agents d'interagir nativement avec nos données d'entreprise et nos systèmes historiques (legacy) Responsabilités Concevoir et déployer les fondations solides qui permettront à nos agents IA d'être hébergés, de s'exécuter et d'interagir de manière fluide avec nos systèmes lors de la mise en production. Concevoir des pipelines robustes permettant l'exécution agentiques asynchrones multi-étapes (ex: flux d'ingestion et d'écriture transactionnels), en implémentant des patterns de résilience distribuée. Intégrer les SDKs d'orchestration agentiques (notamment Google Vertex AI Agent SDK / ADK), en contournant les limitations "boîte noire" des frameworks managés. Orchestrer de façon efficiente les agents mis en production tout en garantissant la bonne gestion du traitement de l'information, du routage vers les modèles les plus adapté et garantir une gestions des coûts et utilisation des tokens optimal. Garantir et assurer la qualité et la vitesse d'exécution des tâches à réaliser. Cadrer strictement le périmètre d'action de chaque agent. Vous garantissez qu'ils accèdent uniquement aux données et aux actions pour lesquelles ils sont formellement autorisés, dans le respect de nos règles de confidentialité. En garantissant la sécurité des données. Bâtir des pipelines de mesure de performance et tracking avancés pour tracer de bout en bout les réflexions et décisions de l'agent afin de débugger la logique en production. Travailler avec l'équipe pour définir les métriques d'évaluations data pertinentes et cohérentes par rapport aux spécificités et métriques fonctionnelles définies. Savoir Faire Conception de backends robustes (Python), maîtrise opérationnelle de la conteneurisation (Docker, Kubernetes) et des pipelines (CI/CD, tests automatisés, observabilité, gestion des logs) pour assurer des mises en production robustes. Expertise Python axée production, maîtrise des plateformes de déploiement (Vertex AI Agent Builder, Gemini Enterprise Agent Platform) et des protocoles d'intégration client/serveur comme le Model Context Protocol (MCP). Expérience d'optimisation des fenêtres de contexte pour des modèles frontières massifs. De routage de requêtes vers les modèles adaptés aux solution envisagées Capacité à construire des frameworks de test pour LLMs (LLM-as-a-Judge, Golden Datasets), maîtrise des métriques déterministes et validation stricte des formats de sortie (JSON schema enforcement). Expérience pratique sur l'Agentic RAG, le Semantic Caching pour réduire la latence et les coûts API, ou l'utilisation de frameworks d'optimisation de prompts (ex: DSPy). Expérience appliquée à la supply chain, au retail, ou au déploiement de modèles via Databricks / MLFlow. Savoir être Excellentes compétences en communication et en collaboration. Capacité à travailler efficacement dans un environnement dynamique et rapide. Solides compétences en résolution de problèmes et souci du détail. Adaptabilité et volonté d'apprendre de nouvelles technologies et méthodologies et à les partager. Capacité à traduire des concepts techniques complexes en termes compréhensibles pour les parties prenantes non techniques. Capacité à comprendre les enjeux utilisateurs et les besoins associés Qualifications Profil Senior : Vous justifiez d'une expérience solide (Machine Learning Engineering) avec une forte orientation vers la mise en production d'infrastructures. Capacité à exploiter des solutions managées (Vertex AI) tout en sachant aller dans les détails pour corriger des architectures distribuées, développer des connecteurs custom et contourner les limitations des frameworks. Capacité démontrée à évoluer dans des environnements techniques mouvants Aisance opérationnelle sur GCP et compréhension des environnements conteneurisés (Docker, Kubernetes) pour déployer de façon autonome la couche Agentique. Environnement technique Agent orchestration : Gemini Enterprise Agent Platform, Vertex AI Agent Builder Infrastructures & Cloud : GCP (Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines. IA & Protocoles d'intégration : Model Context Protocol (MCP), LLMs (Gemini), LLM routing & memory management. Sécurité & Accès : Google Cloud Model Armor. Execution Engine: Databricks, AWS EKS, Sagemaker Payload: Python, Spark, Scikit-Learn, Tensorflow / Pytorch, Pyspark CICD: Github Actions Serving: Docker, Protobuf, gRPC Model registry, Model Tracking: MLFlow Orchestration: Airflow Documentation / code: Git, Confluence Data Visualisation: Tableau CE QUE NOUS T'OFFRONS 2 jours de télétravail par semaine ; Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ; Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ; Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels). Rejoindre Decathlon, c'est faire partie d'une équipe dynamique passionnée par le sport, l'innovation et ayant un impact positif sur la vie de nos clients. Si vous êtes enthousiaste à l'idée de tirer parti de la data science pour optimiser les processus de la chaîne d'approvisionnement et stimuler la croissance de l'entreprise, nous vous invitons à postuler et à faire partie de notre aventure. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France on Arbeitnow

The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics , who will design and train deep-learning models for visual servoing in precision robot manipulation. Your model's output steers the robot as it moves, so inference latency and sub-millimetre accuracy both decide whether the task succeeds. Responsibilities Method Development: Develop deep-learning methods for visual servoing and robotic vision, adapting and combining existing methods for new tasks where that requires significant changes. Model Training: Design, train, fine-tune, and evaluate models in PyTorch, including adapting pretrained and foundation models to real robot tasks. Perception Methods: Develop 2D and 3D perception for pose estimation, depth, tracking, and geometric understanding, combining learned, classical, and optimization-based methods where each fits. Closed-Loop Integration: Integrate learned models into closed-loop robot control for high-precision manipulation. Robot Evaluation: Evaluate models on real robots and precision manipulation tasks, analyse failure cases, and improve robustness and generalization. Real-Time Deployment: Build real-time inference pipelines in C++ and Python and optimize models with ONNX, TensorRT, and CUDA to meet the timing of the control loop. Essential Skills Background: Master's degree or PhD in computer science, robotics, electrical engineering, or a related field, or an equivalent combination of research and industry experience, with three or more years in machine learning, computer vision, or robotics. ML Pipeline: Hands-on experience designing, training, and tuning deep-learning models end to end in PyTorch. Method Development: Experience adapting, combining, or extending existing machine learning or vision methods for a new task, with changes that required understanding how those methods work internally. Computer Vision: Solid understanding of computer vision and 2D/3D geometry. Programming: Software development in Python, with working knowledge of C++. Beneficial Skills Robot Control: Understanding of robot kinematics, feedback control, or visual servoing, or experience with high-precision manipulation. The team supports candidates in building this experience on the job. Model Deployment: Experience deploying optimized models with ONNX, TensorRT, or comparable frameworks, including on embedded or industrial GPU platforms. Robot Learning: Familiarity with reinforcement learning or imitation learning. Industrial Cameras: Experience with industrial 2D/3D cameras, lens models, camera calibration, or point clouds. Robotics Middleware: Experience with ROS or ROS 2. What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find Jobs in Germany on Arbeitnow

IMC is seeking Deep Learning Researchers to join our growing team. As a Deep Learning Researcher, you will develop and apply state-of-the-art deep learning techniques at the intersection of AI and markets. You will help accelerate our efforts in areas such as modern neural network architectures and representation learning, improving our large-scale AI models that increasingly shape our trading. You will work closely with senior researchers to gain exposure to the full research lifecycle, from initial idea to production deployment. The ideal candidate has a strong foundation in modern AI and machine learning research, gained through post-graduate study or internships. Prior financial industry experience is not required. We are looking for someone who brings rigorous scientific thinking and a drive to learn, and who wants to grow alongside experienced researchers as we build a world-class deep learning capability at IMC. Your Core Responsibilities Build and improve deep learning models to enhance trading performance across multiple asset classes, working under the guidance of senior researchers Contribute to research in areas such as representation learning, transformers, foundation models, generative AI, reinforcement learning, and other emerging deep learning techniques Support large-scale data curation, feature representation, and self-supervised and multimodal learning from structured and unstructured datasets Contribute to shared training infrastructure and deployment pipelines Stay current with academic and industry developments in deep learning and share relevant research with the team Your Skills and Experience A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Currently in your final year of study, graduating in 2027 A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Demonstrated experience in deep learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor's and Master's candidates, research experience is required but can take other forms, e.g. thesis work, open-source contributions, or projects Hands-on experience with modern deep learning architectures, such as transformers, sequence models, representation learning, self-supervised learning, and/or generative models Solid understanding of the theoretical foundations of deep learning, optimization, statistical learning, and neural network training dynamics Strong programming skills in Python and hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow Strong communication skills with the ability to explain technical ideas clearly to both technical and non-technical audiences You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities. If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage. Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineering Manager to join us in London on a hybrid basis (3 days a week). In this role, you'll lead the team that owns intelligence across our ordering experience, from store page and item selection through cart, upsell and checkout, plus bundling. Personalisation is one of the biggest levers we have to drive value to our customers, and your team will make the app feel less like a generic catalogue and more like one that understands what each customer is trying to do. What you'll be doing Lead and develop a high-performing team of around 12 Machine Learning Engineers, distributed across multiple pods and spread across London, Finland and Berlin, fostering a culture of technical excellence, ownership and rapid experimentation. Own and evolve the ranking, recommendation and personalisation systems across ordering surfaces, helping customers find the right items quickly as our selection grows. Set the technical vision for the team's ML ecosystem, balancing near-term product goals with longer-term bets on areas like on areas across recommendations to agentic approaches, and intent-aware experiences that adapt dynamically to how customers browse and act. Lead the unification of our recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, working out how to power personalisation at global scale while keeping it feeling hyperlocal, and how to balance reusable core models against surface-specific adaptations without ending up with a sprawl of models. Partner with Product, Data Science and neighbouring engineering teams to identify high-impact opportunities, define roadmaps and translate ambiguous business problems into ML solutions. Provide technical guidance on modelling approaches, ML system design and production architecture, stepping in to challenge modelling decisions where needed without becoming a bottleneck. Drive key marketplace metrics such as conversion and engagement, balancing velocity and scope against sustainable, long-term technical quality. Stay close to the code so you understand how your team actually works, and help evolve the AI-assisted engineering practices and tooling that empower the team. What you'll need to thrive Proven experience line-managing ML Engineers, ideally 6 or more direct reports, with a track record of building high-performing teams, coaching engineers through career progression and managing a horizontally distributed team across multiple pods or workstreams. Significant experience building and deploying machine learning systems in production at scale, in areas like Recommendations, Personalisation, Search, Ranking or Information Retrieval. Strong stakeholder management across product, engineering and business functions, with experience working across multiple teams and geographies. A pragmatic, impact-focused mindset, prioritising outcomes and customer experience over theoretical perfection. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale - Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast - Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership - Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders - High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create - Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . 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