AI & Machine Learning jobs in Zurich

AI Software Engineer

Job DescriptionWe are seeking a highly skilled, fast learner and well rounded, AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.  The mission of Avaloq AI Lab is to improve operational efficiency and augment Back-to-Front Office user experiences, through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and relationship managers. Your key tasks  Lead AI experiments and develop solutions from ideation to production Collaborate with cross-functional teams to design and implement Agentic AI solutions  Develop advanced prompts, multi-Agents architecture and tools Deploy and maintain LLM based solutions in production Optimize solutions for performance, cost, and scalability Stay up-to-date and evaluate the latest advancements in AI research and related regulations QualificationsAt least B.Sc. degree in Computer Science, Engineering, or a related field  Strong background in data science, statistics, and experimental thinking   Understanding of data structures, algorithms, and software design principles  Effective communication and collaboration skills  Excellent analytical, coding, and debugging skills in PythonAt least 5 years of experience in Full-Stack Software Development  At least 3 years of applied ML experience, with 2 years of experience with LLMs and Agents   Proven track-record of deploying and maintaining AI models in production  ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar RAG pipelines with vector stores (e.g., Chroma, Qdrant) Agent frameworks (e.g., LangChain, Google ADK, CrewAI) Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)    LLM & Agent Ops - experiment tracking tools, observability tools, evaluation pipelines, prompt engineering and maintenance tools Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes) Micro-services and REST APIs Additional InformationWe realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.  #LI-Hybrid Company DescriptionFounded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Senior HPC and AI Network Software Architect

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.We are looking for a Senior HPC and AI Network Software Architect to help build the next generation of scalable AI infrastructure. The role emphasizes distributed training, real-time inference, and communication efficiency across large systems. You will develop new software and hardware approaches, shape platform evolution through hands-on innovation, and contribute to designing systems powering the fastest AI workloads globally. Collaborate with our distinguished team of researchers and engineers building software and hardware for AI at an outstanding scale.What you will be doing:Build and evolve the architecture of scalable software systems for distributed AI training and inference, focusing on throughput, latency, resiliency, and memory efficiency across cluster-scale deployments.Develop and evaluate next-generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC, tailored to the evolving demands of frontier AI workloads.Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) and internal platform teams to build integrations, explore new approaches, and improve end-to-end performance and reliability.Collaborate on hardware and system-level features across GPUs, DPUs, and interconnects to speed up data movement and enable new capabilities for training, inference, and model serving at scale.Drive innovation across runtime systems, communication libraries, and AI-specific protocol layers, helping turn new ideas into practical capabilities and robust implementations.What we need to see:Ph.D., or equivalent industry experience, in computer science, computer engineering, or a closely related field.5+ years of experience in systems programming, parallel or distributed computing, high-performance networking, or large-scale data movement, including experience designing and building complex systems.Strong programming background in C++, Python, and ideally CUDA or other GPU programming models, with a track record of building production-quality performance-critical software.Extensive hands-on experience with AI frameworks (e.g., PyTorch, TensorFlow, JAX) and a solid grasp of how communication libraries and runtime systems facilitate large-scale training and inference.Demonstrated success in developing and refining high-throughput, low-latency systems, including the ability to reason across software stacks, hardware capabilities, and system bottlenecks.Strong collaboration skills in a multi-national, interdisciplinary setting, with the ability to contribute ideas, build momentum, and work effectively with senior engineers, researchers, and partner teams.Ways to stand out from the crowd:Deep expertise with NCCL, UCX, UCC, or similar communication libraries used in large-scale AI and HPC workloads.Strong background in networking and communication protocols, RDMA, collective communications, congestion-aware transport, or accelerator-aware networking.Comprehensive knowledge of large model training and inference serving at scale, including communication bottlenecks, scheduling challenges, and system-level tradeoffs across compute, memory, and fabric.Experience crafting hardware-software co-design for distributed AI systems, including contributions that advanced GPU, DPU, interconnect, or runtime capabilities.Familiarity with infrastructure for deployment of LLMs or transformer-based models, including sharding, pipelining, expert parallelism, or hybrid parallelism.At NVIDIA, you’ll work alongside individuals who are dedicated to continuous learning and creative problem-solving in the industry, pushing the boundaries of what’s possible in AI and high-performance computing. If you're passionate about architecting distributed systems, advancing AI infrastructure, and solving problems at scale, we want to hear from you!Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Senior ML Engineer, AI Security

Job DescriptionExample projectsExtend the scope of one of our detectors to support multiple languages without dropping performance on already supported languages.Increase the scope where our defenses perform by 100x (e.g., multi-lingual data, code, etc).Extend modeling and data generation to enable passing additional context to our prompt injection detectors, such as the LLM output and behavioral metadata.  Red team our model to understand the most pressing vulnerabilities of our detectors and prioritize the data collection and generation required to fix them.  QualificationsWhat you’ll bringYou have at least 4 years of experience shipping machine learning models to production, ideally in environments where reliability and quality are key (e.g., autonomous driving, industrial applications, healthcare). Most of your experience productionizing ML models has been in unstructured data spaces such as NLP and vision. You have had experience working on end-to-end development of ML models.You have experience working on the “long tail” of data distribution, bringing models from prototypes to real-world systems. You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals. Company DescriptionAs the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies for 2024 and Newsweek’s 2025 list of Americas Best Cybersecurity Companies. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.

Senior Reinforcement Learning Engineer

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 200 people and work on cutting-edge robot technology. The Opportunity  We are looking for a Senior Reinforcement Learning Engineer to join our Motion Intelligence team. You should bring deep expertise in reinforcement learning and policy optimisation, grounded in real-world robotics experience, and be excited to push the boundaries of autonomous robots. We are looking for someone who can provide senior-level RL and learning-based control guidance across the team — shaping how we train, deploy, and maintain learned policies on physical robots operating in demanding industrial environments.Beyond RL expertise, we value engineers who take pride in writing clean, maintainable code, simplifying complex systems through thoughtful design, and championing sound interfaces and architecture. At ANYbotics, we develop tailored software solutions that enable our legged robots to execute inspection and maintenance tasks with precision and consistency. This role sits at the intersection of cutting-edge RL research and production robotics — from sim-to-real policy transfer and reward engineering through to reliable deployment on mission-critical systems in the field. You’ll work across the full lifecycle — from early development prototyping through to mission‑critical, production deployments.  The Market & Our Technology  ANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customised hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware. Your Impact Lead the design, training, and deployment of reinforcement learning policies for robot motion — bridging the gap from simulation to reliable real-world performance Provide senior technical guidance on RL and learning-based control across the team, mentoring engineers and establishing best practices for policy development workflows Own and evolve the RL training infrastructure and sim-to-real pipeline, ensuring reproducibility, scalability, and fast iteration cycles Shape the technical vision for internal ML tooling and experiment management (e.g. training dashboards, automated evaluation pipelines), driving efficiency and rigour across the team's learning workflows Collaborate closely with cross-functional stakeholders to identify how to expand the robot's autonomous operational envelope Triage field issues related to locomotion, recognise failure patterns, and rapidly improve policy robustness based on real deployment data Write, deploy, and maintain efficient Python and C++ software for the learning and locomotion stack Your Profile PhD in robotics, machine learning, computer science or a related field with a strong focus on reinforcement learning; alternatively, an equivalent track record of RL research and deployment in robotics Or Master's degree from a top-tier technical university (e.g. ETH Zurich, EPFL) in robotics, machine learning, computer science or related field and 5+ years of professional experience Proven track record of shipping ML models to the field and maintaining those solutions over time Solid grounding in robot control fundamentals and autonomous systems, including: motion control, state estimation, path planning and actuation Experience using robotic simulation tools such as Gazebo or Isaac Sim Strong understanding of sim-to-real transfer, domain randomisation, reward shaping, and policy robustness techniques Proficiency in Python and modern ML frameworks (PyTorch); working knowledge of C++ Strong knowledge of Linux systems and middleware frameworks for integrating learned components into a larger software stack Pragmatic and solution-oriented mindset — comfortable balancing research exploration with production delivery Excellent communication skills in English Bonus Points Experience training and deploying RL policies on physical robots — not just in simulation Development of scalable and modular robot architectures of motion control systems Experience with navigation systems and autonomous mobile robot operation in unstructured environments Interest in agentic engineering toolchains Experience leading software architecture design and software engineering best practices A solid grasp of physical systems, specifically multibody dynamics, electromechanical drive physics, energy optimization, and contact physics, to ensure learned policies respect hardware limits and transfer successfully from simulation to the real world We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas, a fair market salary, an attractive employee stock ownership plan, and a job in the city of Zurich.     Agency Policy: We are not currently partnering with external search firms or recruitment agencies. Any profiles or resumes submitted to ANYbotics employees without a prior written agreement will be considered public disclosure and the property of ANYbotics, involving no liability or fee for subsequent hiring.

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

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.

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.

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.

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.

Site Reliability Engineer (AI Start-up), Portugal-based role

Salary: CHF 100'000 - 140'000 per year Requirements: Experience designing and operating distributed systems at scale, with a solid understanding of failure modes, capacity planning and the trade-offs between consistency, availability and latencyStrong observability and incident response skills: you build monitoring that catches problems before customers do, lead structured incident responses and drive lasting fixes, not just restartsHands-on experience with infrastructure as code, CI/CD pipelines and container orchestration in productionA security mindset: encryption, network isolation and secure handling of enterprise data are a default for you, not an afterthoughtBased in Portugal (Lisbon preferred), or ready to relocate there, with the right to work in the EU or UK (no visa sponsorship) Responsibilities: You'll join a fast-growing, well-funded AI start-up backed by one of Europe's top venture capital firms. They're building an AI operations platform for large enterprises, currently focused on retail and consumer goods. Their AI agents carry out business-critical work wherever it happens, across SAP, spreadsheets, supplier portals, email and APIs, with heavy use of browser and computer automation. Customers rely on these agents for critical workflows, so reliability directly affects their business.What you'll doThis is not a traditional ops role that follows runbooks. You'll build the reliability practice, not maintain one:Evolve observability, infrastructure topology and release processes to keep up with high-velocity, AI-assisted developmentMake sure misbehaving AI agents are spotted early: understand their failure modes and find the causes of high latencyBuild tooling that sounds the alarm before customers notice, so the on-call team can assess impact and mitigate issues in minutes, not hoursMake sure post-mortem actions are followed through across engineering, even if that means adding some frictionDecide what to automate first, balance reliability against shipping speed, and make incident calls with incomplete informationThe teamThe engineering team has around 20 people and is growing. About half are based at the home base in Prague, and the rest work from small hubs across Europe, all within two hours of Prague time. The culture is built on ownership, direct feedback and customer focus: the team ships weekly, fixes forward, and uses AI tools wherever they help. Technologies: AIAI AgentsAWSAzureCI/CDCloudDatadogGCPKubernetesLLMNetworkRESTSAPSecurityTerraformDevOpsDockerPostgreSQLPythonRedisTypeScript More: Rockstar Recruiting is hiring on behalf of a fast-growing, well-funded AI start-up, backed by one of Europe's top venture capital firms, that is building an AI operations platform for large enterprises, with customers among Europe's biggest retailers. This is a senior Site Reliability Engineer role for someone who knows what good looks like and wants to build a reliability practice from the ground up: owning observability, incident response, security and the reliability of production AI agents, on a cloud-native stack built on GCP, Kubernetes, Terraform and Datadog.The team works from small hubs across Europe rather than fully remote, so the role is open to candidates based in, or ready to relocate to, Portugal (Lisbon preferred), with the right to work in the EU. Please get in touch with Tijana of Rockstar Recruiting to discuss further details: tl@rockstar.jobs last updated 44 week of 2026