Find Your Dream Career

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI's products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI's goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you'll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You'll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 7+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team's technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback Favor pragmatic solutions and can ship in hacky, low-support environments when needed Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals Have prior experience working on engineering for high-severity harms Bring intuition for the pain points and workflows of operations and investigative teams, and curiosity about solving complex investigations Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation: £161K – £280K • Offers Equity • £161K – £280K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search. Your responsibilities: Design, train, and deploy ML models for retrieval, reranking, and search relevance in production Build and optimise embedding-based indexing and large-scale retrieval systems Develop models supporting crawling, data selection, and content understanding Define and improve quality metrics for agent-native search and build evaluation pipelines Work on systems operating at very large scale, including high-throughput query workloads Collaborate closely with engineering teams to integrate ML models into production services Analyse performance trade-offs across latency, quality, and cost Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems Contribute to product and architectural decisions in a fast-moving environment Must-haves: 5+ years of experience in software engineering or applied machine learning Strong programming skills in Python, Go, or C++ Proven experience deploying ML models in production systems Hands-on experience with retrieval, ranking, recommendation, or similar ML problems Strong understanding of machine learning and modern deep learning techniques Experience working with large-scale data systems and high-throughput environments Ability to design evaluation frameworks and define meaningful model metrics Product-oriented mindset with a focus on impact and iteration Strong problem-solving skills and ability to work in a distributed team Nice-to-haves: Experience with search systems or large-scale information retrieval Familiarity with embeddings, transformers, and modern NLP systems Experience working on LLM-powered or agent-based systems Contributions to open-source projects, technical publications, or conference talks Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in United Kingdom on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to build the web access infrastructure behind a novel search engine designed for agentic AI. In this role, you will investigate how modern websites communicate with browsers and translate that understanding into production systems operating at internet scale. You will build browser infrastructure and tooling that enables reliable, efficient access to web content across a rapidly changing web. Your responsibilities will include: Research and analyse how modern websites communicate with browsers across the complete request lifecycle Investigate browser fingerprinting, client verification mechanisms, and modern web technologies to enable reliable web access Build tooling for browser instrumentation, debugging, observability, and large-scale experimentation Translate technical research into production systems operating at internet scale Requirements You have 5+ years of experience as a software engineer working on production backend or infrastructure systems, and are an expert in several of the following areas: Browser Technologies Chromium architecture and browser internals Browser lifecycle and navigation Chrome DevTools Protocol (CDP) Playwright, Puppeteer, Selenium, or similar browser automation frameworks Browser instrumentation and debugging Web Platform HTTP/1.1, HTTP/2, HTTP/3 — TLS, DNS, and browser networking Cookies, browser storage, caching, redirects, and session management JavaScript execution and modern client-side rendering Resource loading, page lifecycle, and browser networking Browser fingerprinting concepts and browser characteristics Nice to Have Experience working on browser engines or browser infrastructure Experience reverse engineering browser or web application behaviour Experience building internet-scale distributed systems Go, C++, Rust, or Python Kubernetes and cloud infrastructure We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our team We're seeking an exceptional Cyber Security Engineer to join our Germany-based team, focused on localising and advancing Wayve's autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up. 🧠 Your day-to-day TARA Assessment of core onboard SW Define system assets , define preliminary security level architecture Lead TARA assessment per architecture definition Derive external and internal vulnerabilities and control mitigations Cybersecurity Concept and Plan Formulate a cybersecurity concept and plan that supports OEM cybersecurity compliance. Enlist both onboard and development SW and third party library entry points and risks and mitigation plans. Lead SW DevOp security requirements and validation Lead specifications for SW DevOp nightly regression flow with respect to security screening Lead design reviews, define a method and a flow for security improvements, vulnerability and pentests. OEM and Tier 1 cybersecurity collaboration Engage with OEMs and Tier 1s to align on external requirements/assumptions based on formulated cybersecurity concept. Penetration testing alignment: Collaborating live with security consultants or red teams Joint physical reviews of hardware trust boundaries, key provisioning, secure boot integration, etc. 🧩 What you'll be working on As part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a fully automotive compliant ML software product. As an integral part of production compliance and being active in supporting customers complying ISO/SAE 21434, we are looking for an experienced system-minded cybersecurity engineer to lead the security threat analysis and risk assessment of on-board software development process and its in vehicle integration, derive cybersecurity concept and plan and continuously support our SW development cycle from the cybersecurity standpoint. This role will be critical in defining what level and mitigation policies the company must follow as part of DevOp operation and which security assumptions are translated to OEM and Tier 1 responsibilities as part of the in-vehicle architecture, in order to deploy our embodied AI models in compliance with cybersecurity goals. 🙌 You should apply if Essential 5+ years experience in cybersecurity systems engineering. Proven experience orchestrating company's cybersecurity DevOp policies, running report investigations and ability to drive SW improvements with respect to cybersecurity. Ability to apply TARA (Threat Analysis and Risk Assessment), experience with STRIDE, HEAVENS 2.0, attack trees, or similar frameworks Understanding of ISO/SAE 21434 and mapping threats to cybersecurity goals Skill in assessing impact × feasibility, and converting results into mitigations Familiarity with Secure Boot, TPM, HSMs, and key provisioning Understanding of vehicle trust boundaries, secure diagnostics, and network segmentation Hands-on experience in: Fuzzing, static analysis, reverse engineering Familiarity with CVEs and common vulnerability classes in C/C++/Python codebases Using tools like: Wireshark, CANoe, Binwalk, Ghidra, IDA, Metasploit, AFL, etc. Secure Software Engineering Systems Integration & Testing Comfort working with CI/CD pipelines to enforce security gates Ability to work cross-functionally and translate domain analysis into technical and product requirements. Experience working in an agile, fast-scaling environment with a strong execution mindset. Desirable: Familiarity with automotive systems cybersecurity, knowledge of ECU architecture and protocols. 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews [Domain Knowledge, 60mins] Deep-dive technical interviews [Security Strategy Presentation, 60mins, Cross Functional SW Architecture, 60mins, Platform, 60mins] Final interview : [Mission & Values alignment, 30mins]. We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find Jobs in Germany on Arbeitnow

Join the team rewriting the rules in private markets. Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more. Our team combines finance veterans with talent from tech, consulting, law and industries you'd never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia. If you're ready to build what's next in private markets, let's talk. Engineering Manager (m/f/d) We're looking for an Engineering Manager to lead a meaningful part of our engineering organisation. You will be leading one or more product engineering teams alongside the DevOps and infrastructure engineers, who own the foundations everything else is built on – our cloud infrastructure, deployment pipelines, architecture and observability. Across these teams, you'll own their health, growth and delivery, and you'll be accountable both for the products they ship and for the reliability, security and scalability of the systems beneath them. We're also at the start of a deliberate change in how we build, with a greater focus on AI enablement. We're early in this, and we want a manager who's excited to help lead it – rethinking how the team works, what good looks like, and where human judgement matters most when agents do more of the building. What sits underneath all of this is consistency: working in financial services means the bar for security, reliability and correctness is high, and the people who build well here are the ones who take that seriously without losing pace. You will: Lead, support and grow your engineers across product and platform – running thoughtful 1-to-1s, setting clear expectations, and helping people develop toward the careers they want. Own delivery across your teams. Where you lead product teams, partner closely with Product and Design to shape a realistic roadmap and create the conditions to ship it well; where you lead platform and infrastructure, set the priorities that keep the whole organisation moving. Own the technical direction of our infrastructure and architecture – cloud, networking, data, deployment, and the patterns other teams build on. Hold a high bar for engineering quality, and balance new platform work against the infrastructure and architectural debt that any scaling company accumulates. Help lead our move toward agentic engineering — setting how the team uses AI coding tools well, building the workflows and guardrails for delegating work to agents, and keeping quality, security and review standards high as more of the implementation is automated. Hire well, and partner with other engineering managers and senior engineers to raise the standard of how the whole organisation builds, runs and secures software. The Next Moonfarian: Experience managing software engineers — you've led at least one team, owned its delivery and growth, and you know how to develop people as well as systems. Experience leading more than one team, or a mix of product and platform engineers, is a strong plus. A strong engineering background in infrastructure, platform or backend systems, with the depth to set architectural direction and be respected by senior engineers. Deep, hands–on experience with cloud infrastructure — AWS in particular — and modern infrastructure practice: infrastructure as code (e.g. Terraform), containers and orchestration, CI/CD, and observability. A coaching instinct: you take satisfaction in other people's growth and success, not only your own output. Clear communication, and the judgement to know when to dig into detail and when to step back and trust your team. You're able to collaborate confidently with both technical and non–technical stakeholders. Comfort with ambiguity and change. We're scaling and evolving, and the role will too. Hands–on experience with modern AI coding tools – for example Claude Code, Cursor, GitHub Copilot or similar agentic assistants. You use them in your own work, have a considered view on where they help and where they don't, and want to bring a team along with you as the way we build changes. Familiarity with modern web and cloud development. Our stack is built around TypeScript, Node.js and React on AWS – direct experience is welcome, but we care more about strong fundamentals and the ability to learn. This role is unlikely to be a good match if you: Prefer to work in silos and focus only on one domain, as this role requires a highly collaborative approach and the versatility to recruit across all business functions. Are resistant to adopting an AI–first mindset and prefer manual processes over exploring automation and new technologies to drive efficiency and advance our engineering organisation. Are uncomfortable with calculated risk–taking and moving at speed, as we aim to innovate and push boundaries within the necessary constraints of a regulated FinTech environment. If you feel you do not meet all of the requirements, we still encourage you to apply! Our Values: Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests. We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes. We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed. We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day. We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We're committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work. *Minimum investments vary according to jurisdiction. Find Jobs in Germany on Arbeitnow

TYTAN Technologies The PACE is fast. The expectations are high. The contribution matters. Working at TYTAN is more than a job, this is a mission. We push boundaries, think big, and hold ourselves to the highest standard. Our mission and values guide everything we do, and we're looking for people who are driven by ownership, embrace challenges, and are energized by meaningful work. If you're motivated by impact and thrive in dynamic environments, you'll fit right in. At TYTAN , we aim to set a global standard in autonomous air defense with AI-driven, cost-efficient systems that counter unmanned aerial threats at scale. We protect people. We protect critical infrastructure. We protect European sovereignty. We are looking for a Senior Computer Vision Engineer to join our computer vision team. You will design, implement, and deploy end-to-end computer vision pipelines for UAV perception, from data collection to real-time inference on embedded platforms. This includes working with multi-modal sensors, camera hardware, calibration workflows, and integrating perception systems tightly with UAV hardware and autonomy stacks. You will test in real environments, iterate using real-world data, and collaborate closely with mission partners and engineering teams. Your roadmap to make an impact Build and optimize computer vision pipelines for real-time onboard UAV processing. Configure, calibrate, and integrate imaging sensors (RGB, thermal, stereo, depth, IR). Develop, train, and evaluate deep learning models for detection, tracking, and classification. Deploy models on edge devices; TensorRT and NVIDIA Jetson experience is a strong plus. Apply classical CV concepts to complement DL solutions. Work with real-world data collection, annotation, and performance benchmarking. Integrate perception modules with ROS-based systems and UAV hardware. Collaborate with hardware, autonomy, and mission teams for field deployment. Degree in Computer Vision, Robotics, ML, EE, or related field. 5+ years of experience in working in Robotics, AI, Deep tech or UAV systems related filed. Excellent Python, ROS and C++ skills. Strong experience with sensor fusion (eg. Kalman Filters). Strong experience with PyTorch/TensorFlow or similar deep learning frameworks. Strong ROS and OpenCV knowledge. Hands-on experience with model deployment; TensorRT/Jetson is a plus. Strong grounding in computer vision theory. GStreamer and camera streaming experience is a plus. Strong software engineering and Linux knowledge — Git, Docker, CI/CD. Willingness to travel for field tests and deployments. Why TYTAN? Build technology with real operational impact: Develop autonomous defense systems designed to protect lives and strengthen Europe's security Shape scalable defense capabilities: Work on solutions built for mass deployment, cost efficiency, resilience, and reliable production at scale Contribute to networked air defense: Help integrate our systems into multi-layered defense architectures alongside sensors, command systems, and effectors Develop for real-world operations: Build capabilities together with end users and improve them continuously based on direct operational feedback Move fast and take ownership: Work in a focused, high-performance team where decisions are made quickly and individual contributions have immediate impact Define a new generation of defense technology: Join early and help shape the products, engineering standards, culture, and direction of a fast-growing deep-tech company Work with an international mission-driven team: Collaborate with experienced specialists united by the goal of creating sovereign and effective security capabilities for Europe Our Benefits Virtual stock options: Participate in our success through virtual stock options (VSOPs) at the company's current valuation Monthly allowances: €106/month in flexible benefits including lunch discounts and EGYM Wellpass or shopping credit Regular health care events: Health check-ups, skin screenings, mental health workshops, and an annual vitamin infusion on us Referral bonus: Earn a reward when someone you refer joins the team Regular team events: On- and off-site activities to connect and celebrate together Corporate discounts: Exclusive employee discounts across a wide range of partner brands Flexibility : Flexible working hours and hybrid work model, plus a modern Munich office built for focus and collaboration About us At TYTAN, it is more than just a job; it is about embracing autonomy, personal growth, and purpose. Make a lasting impact in the new era of defense! Join us to create a safer world for all. WE are an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. Please note that we currently do not offer visa sponsorship, so we're only able to consider candidates who already have a valid work permit. All qualified applicants are hereby encouraged to apply. Find Jobs in Germany on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Staff Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems. You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines. We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7. This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. What you'll work on: Designing agent native retrieval systems optimised for machine consumption rather than human search UX Building systems where LLMs iteratively plan, query, refine, and reason over results Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints Your responsibilites: Drive applied research and technical direction across retrieval and ranking systems Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval) Develop methods for grounding LLMs in real time web data at scale Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production Analyse trade-offs across relevance, latency, and cost at scale Work closely with engineering to deploy systems in high throughput, low latency environments Own ambiguous problems end to end and contribute to product and research direction Mentor engineers and help raise the technical bar of the team Must haves: 8+ years of experience in applied AI, ML, or software engineering Proven track record of shipping ML or AI systems to production at scale Deep experience with search, retrieval, ranking, recommendation systems, or assistants Strong understanding of modern deep learning, especially transformers and embeddings Experience with LLM integrated or knowledge intensive systems Experience designing evaluation frameworks and metrics for ML systems Strong programming skills in Python and at least one of Go, C++, or similar Ability to operate in a fast moving, product driven environment with high ownership and autonomy Nice to haves Experience with large scale search or recommendation systems Background in agentic AI systems (agents, tool use, autonomous workflows) Experience with RAG, multi step retrieval, or tool use Publications, open source, or similar signals of technical depth and impact Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in United Kingdom on Arbeitnow

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Melotech is scaling fast, and organic reach is one of the engines behind it. As Organic Growth Lead, you own that engine end to end: the creators, the formats, the trends and the numbers behind them. This is an organic growth role first, measured on how much reach every hour and every euro brings back. You work directly with our founders, our Growth Manager, product and data team. Today that means a steady stream of new products that each deserve a shot at going viral across TikTok, Instagram Reels and YouTube Shorts. Your first job is to build the machine behind that: find the creators and communities that move culture, turn what works into repeatable playbooks, and run more experiments in a week than most teams run in a quarter. On a typical day, your tasks may include: Creator network: finding, briefing and paying creators and pages at scale, from small accounts with loyal audiences to the ones that set trends, and keeping the ones that deliver Seeding: getting our products into the formats and communities where they can travel, at the right moment and in the right volume Trend spotting: catching formats and memes early and moving on them within days, not weeks Experiments: running many cheap tests every week, with clear rules for what wins and what gets killed, and turning the winners into playbooks the team can repeat New channels: finding places where attention is still cheap, from fan pages and communities to platforms nobody on the team is using yet Organic and paid together: working with our Growth Manager so organic winners get scaled with paid, and what paid learns feeds back into organic Measurement: knowing which number answers which question, for example what saves and shares tell you that views do not, and what each view really costs Tooling: building the trackers, scripts and automations you need, with platform data and AI tools as your daily coworkers Who you are We're looking for a hands-on organic operator who lives on the platforms, or a creative growth generalist who has made things travel. Either way, you have done it yourself, not through a team or an agency, and you can show the numbers. Typically, your profile will look like this: Interest: a strong interest in organic growth, creator marketing and social, ideally with hands-on experience from a startup, brand, app, creator agency or your own channels Breakouts you can show: you have made things go viral more than once, for a brand, an app or your own channels, and you can explain why it worked and what it cost Creator marketing at scale: you have run creator or UGC programs with many creators at once, negotiated the rates and written briefs that keep the content native; ideally you bring a network of creators, pages and managers Platform fluency: you know how TikTok, Instagram Reels and YouTube Shorts distribute content today, what makes a hook, and when a format is burning out Creativity with discipline: you come up with ideas nobody else would try, and then test them properly, with small budgets, kill rules and numbers Measurement: you track reach, engagement and cost per view in your own data, not in screenshots, and you judge every channel by what it brings back Data and tooling: you are fast in spreadsheets, ideally comfortable with SQL or Python, and you automate the boring parts with AI tools Pace: you thrive in a fast-paced and performance-oriented environment A big plus: you are or were a creator yourself, or have run pages with a real following, and you're into media, entertainment, gaming or social What makes this exciting You own a lever the whole company feels. Every breakout you engineer shows up directly in how fast we can grow, at a fraction of what paid reach would cost. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call, getting to know you Case interview: 90-minute case discussion, present and debate your skills Founder interview: 90-minute interview with our CEO, going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find Jobs in Germany on Arbeitnow

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? Responsibilities Improve survey operations. Contribute to ongoing survey work and identify opportunities to improve our methods, tools, and processes. Explore new approaches to consumer data. Lead projects assessing ways to collect or produce consumer data beyond online surveys, including behavioral data integration, data fusion, and synthetic data. Weigh their limitations against their potential value for client use cases. Design and run pilots: Set clear objectives, test promising approaches, and make evidence-based recommendations about whether and how to use them. Apply AI to survey workflows. Identify where AI could improve data quality checks, survey production, or other processes. Test practical applications and help implement those that deliver measurable benefits. Track the market. Follow how competitors and other research providers are developing their methods, data sources, and technologies. Turn relevant developments into proposals we can evaluate or test. Turn findings into action. Present your conclusions clearly, invite challenge and discussion, and work with colleagues and stakeholders to put agreed improvements into practice. Requirements A strong grounding in quantitative market research and hands-on experience with online surveys. Experience improving a research method, workflow, or data product, including assessing whether the change achieved its goals. Curiosity about emerging approaches, including AI, and the judgement to recognise both their potential and their limitations. The ability to assess new approaches independently, think critically about their fit and impact, and work with the team and management to shape methodological decisions. A collaborative approach to working with experienced colleagues and the ability to communicate findings and recommendations clearly in English. Experience with Microsoft Excel (Advanced) and keyingress Survey Platform For the Senior Research Manager level, we're also looking for a track record of leading methodological change, setting priorities across multiple initiatives, and bringing stakeholders with you from evaluation through implementation. What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find Jobs in Germany on Arbeitnow

RQ11377 - Software Developer - Full Stack - Senior - 4 Openings Location: Hybrid (Work onsite 2 Days a week from Toronto or Guelph office) 40 St Clair W Toronto or 1 Stone Rd W Guelph Duration: 6+ contract (125 Business Days) + 3 possible Extension Must Have: At least 1+ year of experience developing and implementing Java solutions targeting soil management systems. 5+ years of full-stack Java development knowledge and experience designing and delivering solutions using: Java/JEE technology with Spring Boot version 2.5 or higher Angular 2+ HTML 5 Accessibility for Ontarians with Disabilities Act (AODA) RESTful APIs Databases (Azure SQL Database, Oracle, PostgreSQL) Azure DevOps Pipelines Good design skills to develop quality solutions Integration with ESRI ArcGIS Portal and ESRI ArcGIS Survey COTS RESTful API integration with ESRI Tools (Eclipse, Azure Git Repositories) Excellent design skills with the ability to make design recommendations and develop quality solutions. Developing detailed programming specifications and/or code, and performing application configuration as needed Building release deployments and conducting unit tests within an Agile project environment. Integration skills and experience developing Java solutions using APIM Integration skills, experience and knowledge of building Java backend using Azure Application Service Plan. Nice to Have: ESRI ArcGIS and Survey123 RESTful API integration with ESRI Excellent communication (verbal and written) as well as facilitation skills Experience delivering solutions using Agile practices and tailoring approaches to maximize adoption of Agile principles while working within organizational constraints. Description: A senior full-stack software developer who will be responsible for ongoing development of the Ontario Agricultural Soil Information System (OASIS). The OASIS solution comprises the OASIS core web application (built using Azure Cloud Java technology) and OASIS field data application (built using ESRI GIS technology). Background: The purpose of the Ontario Agricultural Soil Information System (OASIS) project is to design and develop a robust, comprehensive system for the collection, storage and maintenance of OMAFA's legacy and new agricultural soil data in alignment to actions under the Soil Strategy and other emerging OMAFA and government initiatives. Mandatory Skills and Experience: Full-Stack Application Development: Minimum 5 years of hands-on experience designing, developing, testing, and delivering enterprise-grade solutions using: Java/JEE technologies with Spring Boot 2.5 or higher Angular 2+ HTML5 RESTful API design, development, and integration Relational database technologies (Azure SQL Database, Oracle, PostgreSQL) Azure DevOps Repos and Pipelines for source control, build automation, and CI/CD processes Accessibility standards and compliance requirements, including the Accessibility for Ontarians with Disabilities Act (AODA) Solution Design and Development Demonstrated ability to analyze business and technical requirements, provide sound design recommendations, and develop scalable, high-quality software solutions. Experience creating detailed technical specifications, designing application components, and developing maintainable, production-ready code. Experience performing application configuration, customization, and implementation activities as required. T

Department of Transportation and InfrastructureHighway Supervisor I-IISeasonal PositionOpenBathurst DistrictRobinsonville DivisionWho we areThe work we do has a positive impact on our communities and helps improve the everyday lives of New Brunswickers. Together, we are over 45,000 New Brunswickers who are passionate problem-solvers, who make a difference and are proud to call New Brunswick home.The Department of Transportation and Infrastructure has a broad mandate and is committed to maintaining and improving New Brunswick's public infrastructure. The Department of Transportation and Infrastructure's mission is to contribute to New Brunswick's economy and quality of life by providing and supporting sustainable infrastructure that allows for the safe and efficient movement of people, goods and government services to the public. Not only is the department responsible for managing over 18,000 kilometers of provincial highways, it also manages the planning, design and construction of hospitals, schools and other government buildings.What you will doReporting to the Transportation Maintenance Superintendent, the successful candidate will be responsible for: providing leadership, guidance, and support to employees, while ensuring effective teamwork and performance; maintaining public relations with the community; overseeing operation and maintenance of equipment; providing effective winter maintenance of highways in accordance with the Department of Transportation and Infrastructure's policies and guidelines.Work environment: Office location: Tide Head Work holidays, weekends, shift and/or variable hours May work in adverse road and weather conditions We promote a scent-reduced environment.Who you areKey behavioural competencies: Concern for Order Developing Others Effective Interactive Communication Flexibility Results OrientationEssential Qualifications:Highway Supervisor II: Diploma from a recognized two (2) year Civil Engineering Technology program in a related field. Three (3) years of winter maintenance or winter and summer maintenance work experience which includes one (1) year of supervisory experience. OR high school graduation or GED and six (6) years of winter maintenance or winter and summer maintenance work which includes one (1) year of supervisory experience. Working knowledge of Microsoft Word and Excel. Valid Class 5 driver's license as issued by the Province of New Brunswick.If there are no applicants with the above essential qualifications, we may consider applicants with the following qualifications and appoint at a lower classification.Highway Supervisor I: Diploma from a recognized two (2) year Civil Engineering Technology program in a related field One (1) year of related work experience which includes one (1) year of supervisory experience. OR high school graduation or GED and four (4) years of winter maintenance work or winter and summer maintenance work experience which includes one (1) year of supervisory experience. Working knowledge of Microsoft Word and Excel. Valid Class 5 driver's license as issued by the Province of New Brunswick.An equivalent combination of education, training and experience may be considered.Written and spoken competence in English and French is required. Please state your language capability. Applicants must clearly demonstrate the essential qualifications to be given further consideration. Résumés should be in chronological order specifying education and employment in months and years including part-time and full-time employment. Please ensure that your preferred language of assessment is identified in your résumé.Please attach a copy of your driver's license with your application.Asset Qualifications:Preference may be given to candidates that demonstrate the following asset: recent road construction and/or road maintenance experience.Subject to the response to this competition, candidates may be required to demonstrate on their application one or more of the asset qualificati

About Tracium Tracium builds AI-assisted technical documentation software for teams working with complex manuals and engineering information. Our platform combines document intelligence with S1000D authoring, initially serving maritime use cases. We want technical authors to spend less time managing document complexity and more time producing accurate, useful information. Your role You will turn our AI and document processing capabilities into a product that technical authors and engineers can use confidently. You will work across the authoring interface, backend services, and integrations. What you'll do Build an intuitive editor that lets users create structured technical documentation without working directly with XML tags. Develop interfaces for reviewing extracted information and AI suggestions alongside their sources. Create workflows for editing, validation, version comparison, and document export. Build backend APIs and integrate document processing and AI services. Implement access controls, audit history, and reliable handling of long-running tasks. Improve responsiveness and performance when working with large documents. Work closely with the founders and domain experts to translate feedback into product improvements. What you bring Experience shipping and maintaining production web applications. Strong TypeScript and React skills, or experience with a comparable modern frontend framework. Backend development experience with Python or Node.js. Experience designing APIs and working with relational databases. A practical approach to testing, security, accessibility, and maintainable code. An interest in making complex workflows straightforward for users. Clear communication in English. Useful additional experience Rich-text editors, structured content, or collaborative editing. XML, document standards. AI interfaces, document viewers, or enterprise software. Why join Tracium? Take ownership of meaningful product features, work directly with the founders, and shape how people interact with AI-assisted technical documentation. Apply Send your CV or professional profile and examples of applications you have built. Tell us which parts you owned and one product or engineering decision you are proud of. We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply. Find Jobs in Germany on Arbeitnow