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Research Engineer, Cybersecurity RL (Reinforcement Learning)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

AI Researcher - Post-Training

Who is Sonar? Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.  Position description At Sonar, we are seeking an ambitious senior researcher to join our cross-disciplinary team, innovating and developing the next generation of solutions to build enterprise-grade coding agents and models. You will harness Sonar’s deep experience in static analysis, and combine it with your experience and leading techniques in large language model post-training. If you are interested in being hands-on with state-of-the-art research, building practical solutions that deliver high-impact for customers, and working within a team of innovative researchers and engineers, this role is for you. What you will do Outcome Driven Development: Work in a team developing and implementing advanced products that enable customers to post-train models to power their agentic coding practices.   These agents need to generate high-quality code that meets their enterprise standards and software development best practices. Translate Prototypes to Products: Collaborate closely with researchers, research engineers, MLOps and engineers within the team to design hypotheses and experiments, iterate proofs-of-concept quickly and develop successful prototypes into cutting-edge products. Subject Matter Expert: You will contribute and discuss ideas within our cross-disciplinary team, driving towards the next generation of coding model post-training for enterprises. Spearhead Research & Innovation: Stay up-to-date with the latest LLM and agentic developments; you are driven by learning and teaching others. You will need to explain complex technical details and concepts to both technical and non-technical audiences.  Experience and qualifications The ideal candidate will have:  An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field. 4+ years industry experience in machine learning, with a solid understanding of modern software engineering practices and tools. Fluency with Python including core ML frameworks, experience with Rust or any of SonarQube’s flagship languages (C#, C++, JS/TS, Java) is a plus.   Expertise in post-training of large language models, including: Policy optimization algorithms (e.g. GRPO, PPO) Verifier-based RL frameworks (RLVR) Supervised fine-tuning (SFT) Data-centric AI methods, including synthetic data and curation Parameter-efficient fine-tuning (PEFT) Preference and Safety Alignment Experience of driving research projects, delivering valuable findings and prototypes, and then converting them into products.  Excellent communication skills in English and a talent for explaining complex scientific topics clearly and concisely. Additional comments This role is based in Geneva. We are unable to consider candidates unwilling to be in this location, but we are willing to relocate the right candidate. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.  Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.   We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com.  All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.  Applications that are submitted through agencies or third party recruiters will not be considered.

Applied AI Engineer

About Us:DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.About the role:We are looking for an Applied AI Engineer to join our team. You will work directly with customers to understand how they operate, identify high-leverage opportunities, and build AI-powered solutions that solve real problems. A big part of the role is using our own platform and internal tooling to turn the product’s capabilities into high-value experiences for customers. This is not a narrow research role or a pure implementation role. This is a role for someone who is curious, resourceful, and is eager to build great solutions on top of the DeepJudge platform.Your responsibilities will include:Owning customer-specific AI solutions end-to-end, from understanding the problem and shaping the approach to building, deploying, evaluating, and improving the solution over timeBuilding on top of our platform and internal tooling to create reusable AI-powered solutions that generalize across customers and can be relied on by thousands of end usersWorking closely with engineering and ML to improve AI-powered features of the core product and make the platform more intelligent over timeHelping customers and their technical or innovation teams get the most out of the DeepJudge through hands-on collaboration, guidance, tooling, and documentationEvaluating new LLM models, techniques, and approaches as they emerge, and bringing them into productionProactively spotting opportunities and issues, and coordinating across teams to move important work forward quicklyWhat we are looking for:You have built technically ambitious things that use LLMs, whether in personal or professional projects, through APIs directly, frameworks such as DSPy, LangChain, or LangGraph, or equivalent systems built from scratchProficiency in Python or JavaScriptYou are an exceptional communicator, both written and verbal, and you build trust quickly with technical and non-technical stakeholdersYou are highly customer-oriented, have strong intuition for what creates value, and care deeply about what you shipYou are a persistent problem-solver who is comfortable in fast-moving environments where you need to figure things out as you goYou do not need a legal background, but you should be excited to develop real domain expertise over timeWe care much more about your ability, judgment, and potential than about a specific number of years of experienceWhat you can look forward to:Taking ownership of meaningful work from day oneBuilding relationships with teams at some of the world’s leading law firmsWorking on novel AI use cases that combine technical depth with real-world impactBeing part of a team with ambitious goals, autonomy, and room to growHaving a real hand in shaping both our product and how customers succeed with itCompetitive compensation, equity, and meaningful opportunities to grow as we scaleAt DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Cloud Architect, AI & Pan-Amazon, AWS Professional Services, AWS Professional Services, RCG and Pan-Amazon Strategy and Growth

Architect cloud solutions for Europe's most ambitious enterprise customers — spanning migrations, modernization, AI, and intelligent commerce. This Professional Services Cloud Architect role offers the rare opportunity to also collaborate across Amazon business units, connecting AWS with Amazon's expertise in Commerce, Supply Chain, AdTech, and Customer Experience.The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe Cloud Architect (PCA) to join our team. In this role, you'll work closely with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. You'll be a key player in the pre-sales process, providing technical expertise and guidance throughout the customer's cloud journey.You'll be responsible for creating and leading solution designs that address customer business outcomes (CBOs). Operating as the conduit between ProServe Account Executives and Shared Delivery Teams (SDT), you'll ensure proposed solutions are realistic, achievable, and optimize ProServe and/or our partners to maximize CBOs. As a trusted advisor, you provide guidance on industry trends, emerging technologies, and innovative solutions to address customer challenges. As a technical SME, you share knowledge within the organization through mentoring, training, creation of reusable artifacts, and process improvements.Your experience designing technical solutions within the technology/consulting sector will equip you to architect complex, scalable, and secure solutions tailored to each customer, translating technical concepts into business value. Your success will be linked to impacting the signing of SOWs and the successful implementation of solutions which achieve CBOs while exceeding customer satisfaction (CSAT) expectations.Beyond core PCA responsibilities, you will bring expertise in AI/Agentic AI architectures and Retail/Consumer Goods (RCG) solutions. You will also contribute to a growing Pan-Amazon motion, collaborating with domain experts across Supply Chain, Advertising, Connect, and Customer Experience when pursuits require cross-Amazon expertise. French fluency (written and spoken) is essential for engaging customers. Key job responsibilitiesCreate and lead solution designs addressing customer business outcomes across migrations, modernization, AI/ML, and cloud-native architectures. Operate as the conduit between ProServe Account Executives and Shared Delivery Teams, ensuring proposed solutions are realistic and optimized. Provide technical expertise throughout the pre-sales process and customer cloud journey, architecting complex, scalable, and secure solutions tailored to each customer's needs. Bring particular depth in AI, Agentic AI, and RCG/Commerce verticals. Engage French-speaking customers and stakeholders, delivering technical guidance and presentations in French. Collaborate across Amazon organizations when pursuits span multiple business units including Commerce, Supply Chain, AdTech, and Customer Experience. Drive SOW signings and successful implementations that exceed CSAT expectations. Share knowledge through mentoring, training, and creation of reusable artifacts. Serve as a trusted advisor on emerging technologies including Generative AI, Agentic AI, and intelligent commerce solutions. Support diverse teams in making production-proven solutions discoverable and deployable across ProServe teams globally.A day in the lifeYou might start by leading a migration architecture review for an enterprise customer, then shift to designing an Agentic AI solution for a retail client. Later you could be preparing a technical deep-dive for a C-suite audience, collaborating with delivery consultants on an active engagement, or shaping a cross-Amazon pursuit with domain experts. You operate across technologies and languages, bringing the right AWS and Amazon capabilities to each customer's unique challenges.About the teamThis team is small, high trust, and operates with startup intensity inside Amazon's scale. We support the top RCG customers globally — unique market makers in their space. You will be partnered with domain experts who have built production-proven solutions connecting Amazon business units to enterprise customers. The team has direct engagement at the most senior levels of AWS and Amazon. We value people who move fast, think globally, and earn trust by making everyone around them more effective. Basic qualifications- 8+ years of cloud architecture and solution implementation experience- Experience leading cross-functional initiatives across multiple business units, geographies, or matrixed organizations.- Demonstrated experience in Cloud or AI/ML solution design including Generative AI and Agentic AI architectures, and experience in the Retail, Consumer Goods (RCG), or Commerce industry vertical. Preferred qualifications- Degree in advanced technology, or AWS Professional level certification- Expertise in Agentic Commerce solutions including autonomous AI agents for customer experience and intelligent retail operations; experience with AdTech/MarTech solutions and data-driven commerce.- Experience working across Amazon business units (e.g., AWS, Amazon Ads, Amazon Retail, Supply Chain, Connect).Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior CAE and AI Expert

About the RoleNeural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers.As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results.What You Will DoOwn vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success.Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab.Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries.Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities.Who You Are5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environmentsDeep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plotStrong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteriaDemonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration)Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → VisualizationScripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus.Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiencesProficiency in both written and spoken English, with the ability to articulate technical complexity with clarity.Nice to HaveFamiliarity with AI-assisted simulation acceleration, design optimisation, or parametric study automationComfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scriptsMaster HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance.What You GetCompetitive salary and benefitsTraining budget — we believe continuous education is essential for you and for us.Work directly with a world-class engineering team that sets high standards and means it.Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised.Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably.Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads.Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries

The Amazon Web Services Professional Services (ProServe) team is seeking a Principal Delivery Consultant to serve as a technical leader for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you will define and own the technical vision across several concurrent workstreams spanning AI/ML, data platform modernization, and enterprise architecture. This is a pivotal leadership role that will shape how the leading global HCLS companies drive business value from AI and cloud computing. You will bring a "T-shaped" profile: broad proficiency across AI/ML, enterprise architecture modernization, and data architecture and engineering, paired with distinctive expertise in one of these technical areas. You will combine deep technical depth with the ability to counsel senior customer executives (VP+) on major technology choices, blending technical rigor with effective framing of business considerations. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives. 22110010044Key job responsibilitiesEnterprise Architecture Ownership & Technical Standards: Define and own the end-to-end technical architecture for large-scale HCLS transformation programs, setting reference architectures, re-usable patterns, and technical standards that ensure coherence across 50+ AWS, partner, and customer builders. Establish operational foundations for agentic AI including multi-model governance, observability, automated guardrails, and secure multi-agent orchestration. Executive Technical Advisory & Decision Shaping: Bridge the gap between customer enterprise architects' expectations and pragmatic delivery, counseling executives on major technology choices (total cost of ownership, time-to-value, build vs. buy) and influencing technical decisions across customer and partner teams without direct authority, earning credibility through depth and clarity.Cross-Team Alignment & Architectural Governance: Drive alignment across teams with sometimes diverse technical opinions, resolve architectural conflicts, adapt architecture mid-flight as program needs evolve, and coach engineers across partner organizations who do not directly report to you, raising the technical bar across the entire delivery organization. Champion responsible AI practices including bias detection, model explainability, and alignment with AWS's AI service guardrails.AI/ML, Data & Knowledge Architecture: Continuously grow expertise across AI/ML, enterprise architecture, and data engineering and industry depth in HCLS, maintaining knowledge at the frontier of AWS service innovations, prescriptive guidance (e.g. Well-Architected Agentic AI Lens, Generative AI Lifecycle framework, and AI-DLC methodology), and translating those innovations into the specific HCLS customer context.AI-Native Delivery Transformation: Drive AI-DLC (AI-Driven Development Life Cycle) methodologies across the delivery organization, redesigning delivery models for accelerated scale and pace, steering multi-agent systems at scale using patterns such as supervisor-worker hierarchies, workflow orchestration, and saga orchestration as defined in AWS prescriptive guidance, and embedding AI-native workflows into program execution to maximize builder productivity, to achieve step-change improvements in builder productivity and time-to-value.About the teamAbout AWS:Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic qualifications- 8+ years of experience in enterprise technology architecture delivery, with at least 5 years leading technical teams defining and governing technical architecture on complex transformation programs- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience- Depth in one or more of the following technical areas: AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through technical leadership of enterprise-wide transformation programs at leading global enterprises- Strong executive communication skills, with ability to present architecture trade-offs, risk assessments, and recommendations to VP+ audiences with clarity and confidence- Demonstrated ability to adopt and champion emerging delivery methodologies that accelerate team productivity and time-to-value Preferred qualifications- AWS Professional-level certifications (e.g., GenAI Developer Professional, Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)- Experience in the healthcare and life sciences industry, with emphasis on large biopharma, large medtech, and payer customers. Experience designing AI solutions that meet regulatory requirements (HIPAA, GxP, 21 CFR Part 11) and meet standards like OMOP, CDISC, FHIR, and HL7 FHIR R4- Experience re-designing delivery workflows to become AI-native, including steering and validating multi-agent systems at scale to drive delivery productivity and accelerate time-to-value- Demonstrated expertise in designing and operationalizing agentic AI systems using patterns such as multi-agent orchestration, tool-use agents, and workflow orchestration — ideally leveraging AWS services (Amazon Bedrock, AgentCore)- Experience designing data platforms at scale, including data lakes, lakehouses, knowledge graphs, vector databases, RAG (Retrieval-Augmented Generation) architectures, and ontology-driven architectures- Experience influencing and aligning customer enterprise architects and partner technical teams on architecture patterns and technology choices in multi-vendor environmentsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior Research Scientist (m/f/d)

Who We Are:We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.Overview:We are looking for a world-class Senior Research Scientist to join our R&D hub in the Zurich area. In this role, you will be at the forefront of developing Vision-Language-Action (VLA) models that enable robots to understand and interact with the world with unprecedented generalization. You will work on the intersection of large-scale foundation models and real-world robotic execution, bridging the gap between state-of-the-art research and deployed embodied intelligence.Your Responsibilities:Research & Development:Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.Scaling Laws & Data:Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.Algorithm Optimization:Optimize model inference for real-time robotic applications without compromising reasoning capabilities.Publication & Visibility:Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).Collaboration:Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms.Qualifications:Academic Excellence: PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.Proven Research Track Record: Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.Professional Background: Experience working in leading AI research environmentsTechnical Mastery: Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).Domain Knowledge: Strong understanding of Vision-Language models and their application to Action/Control loops in robotics.Location:Zurich Area, Switzerland: This role is based in our Zurich office, offering a vibrant ecosystem for robotics and AI.What We Offer:Free meals at the workplace.Flexible working hours and the option to work from home when needed.Direct collaboration with founders and world-leading AI experts.Access to large-scale compute clusters and proprietary robotic datasets.A key role in shaping the future of embodied AI.Competitive compensation and a relocation package for the Zurich area

AI Trainers Network - Cebuano

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech? Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI. By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms. Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation. What You’ll Need - Native or near-native fluency in Cebuano - Based in: Worldwide, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious Why Join Us? Limitless You – Work when and where you want, with room to grow Limitless AI – Contribute to smarter, more inclusive AI Be Part of Us – Join a global, supportive community About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: Annotate or label text, images, or audio to train AI systems Evaluate search results, ads, or chatbot responses for quality and relevance Create and test prompts to improve large language models (LLMs) Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you. How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community. Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com. Compensation Additional Information

AI Trainers Network - Bosnian

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech? Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI. By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms. Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation. What You’ll Need - Native or near-native fluency in Bosnian - Based in: Bosnia and Herzegovina, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious Why Join Us? Limitless You – Work when and where you want, with room to grow Limitless AI – Contribute to smarter, more inclusive AI Be Part of Us – Join a global, supportive community About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: Annotate or label text, images, or audio to train AI systems Evaluate search results, ads, or chatbot responses for quality and relevance Create and test prompts to improve large language models (LLMs) Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you. How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community. Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com. Compensation Additional Information

AI Trainers Network - Belarusian

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech? Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI. By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms. Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation. What You’ll Need - Native or near-native fluency in Belarusian - Based in: Belarus, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious Why Join Us? Limitless You – Work when and where you want, with room to grow Limitless AI – Contribute to smarter, more inclusive AI Be Part of Us – Join a global, supportive community About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: Annotate or label text, images, or audio to train AI systems Evaluate search results, ads, or chatbot responses for quality and relevance Create and test prompts to improve large language models (LLMs) Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you. How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community. Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com. Compensation Additional Information