Applied Intuition jobs

Supplier Engineer Optics Parvomay, BULGARIA, Bulgaria Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful- because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position: The mission of Supplier Engineering is to bring top quality components to our production lines by building a world-class supplier network that can ensure continuity of supply, growth to support our demand, achieve yearly cost reductions, and mitigate supply chain risks. The ideal candidate will apply their broad and deep hands-on experience in manufacturing and design of electro-optical components, supporting Multiport DaVinci Systems for both on-going sustaining and new product introduction efforts. Roles and Responsibilities: Work closely with product design, manufacturing, and

UX Designer, Google TV Bengaluru, Karnataka, India At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products. As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products. As a User Experience (UX) Designer for Google TV, you will be the primary user advocate for the millions of people who gather in the living room. You will work closely with connected ecosystem teams like Photos, Smart Home and Google Play, contributing to experiences beyond traditional media and entertainment on Google TV. You will be a strategic thinker who anticipates shifts in the lean back experience and uses AI powered tools to prototype the future. You will ensure that as Google TV evolves, it remains accessible, intuitive, and ahead of the curve in a rapidly changing digital landscape.Google TV is redefining the TV experience to make it highly personalized, Google-smart, and content-forward to help users access the world's media. Through recent launches like Chromecast with Google TV, we bring together the best of Google. Google TV

Solutions Architect, Applied AI Bangalore, India 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. Location - Mumbai About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer

Technical Program Manager III (TPM), Amazon Connect Decisions Austin, Texas, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We are looking for a Technical Program Manager to join our team that is building revolutionary enterprise applications that leverage Amazon's extensive operational expertise to help millions of companies worldwide manage their day-to-day supply chain operations. Our mission is to accelerate our customers' businesses through intuitive, differentiated technology solutions that solve enduring supply chain challenges. We blend strategic vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions that make the 'buy versus build' decision a no-brainer for our customers. If you're passionate about creating enterprise-grade applications that combine Amazon's operational excellence with technology, we want to hear from you. As a key member of our team, you will develop GenAI/Agentic AI solutions that help millions of companies worldwide optimize their supply chain operations. We operate like a startup within AWS, offering you the opportunity to tackle unprecedented challenges at global scale while

Applied Researcher San Francisco, California, United States Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. The Team The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we're a full-stack robotics team - whether it's thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer. In This Role You Will - Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware). - Train and tune policies, curate data, and iterate to improve real-world performance. - Write production-quality code that interfaces with Pi's infrastructure. - Work with operators to set up tests, evals, and data collection pipelines. - Engage with partners to understand use cases and observe robots in deployment contexts. - Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers. - Define and shape a vision for what real-world deployments will look like in the long-term What We Hope You'll Bring

Principal Systems Engineer Phoenix, AZ, United States Principal Systems Engineer Phoenix, AZ, United States BE THE FIRST TO APPLY Job Description When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. Honeywell's Anthem Integrated Flight Deck is the Future of Flight Honeywell's Anthem Integrated Flight Deck is the industry's 1st Cloud-Connected "Always-On" Integrated Cockpit system, featuring cloud-native communications, navigation, and surveillance systems, powered by a flexible software platform that can be customized for virtually every type of aircraft, from passenger planes and business aircraft to defense, general aviation and the rapidly emerging class of Advanced Air-Mobility (AAM) vehicles. Honeywell's newest and most advanced Flight Deck will herald a new age of aviation where connectivity will help enable true autonomy. Honeywell Anthem is breaking new ground in Avionics design and pilot-machine interface, with the goal of making pilots' jobs easier, safer and more intuitive. Anthem allows pilots to configure their own cockpit based on mission and phase of flight. Our revolutionary Anthem Integrated Flight Deck delivers unparalleled levels of connectivity, a modern and intuitive user interface, and a highly scalable, customizable design - bringing flexibility, clarity, and simplicity to an industry that demands precision. #Anthem It's not just an upgrade-it's the next era of flight. As a Principal Systems Engineer here at Honeywell, you will play a critical role in the design, implementation, and management of complex systems and solutions that drive innovation, safety, and

Sr. Software Dev Engineer, Healthcare AI Mountain View, California, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. At AWS Healthcare AI, we're at the forefront of revolutionizing healthcare delivery through innovative AI solutions that serve millions globally. We're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring challenges in the industry. As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the complete technical lifecycle, from system design, to implementing robust distributed systems, and developing AI-powered healthcare solutions. You'll be working on transformative products that leverage generative and agentic AI to enhance clinical and administrative workflows for healthcare providers. Your work will directly contribute to improving patient care, enhancing operational efficiency, and delivering exceptional value to our customers. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the

Assistant Director - Applied AI Engineer Location not specified At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering

Sr. Clinical Development Engineer, MP Sunnyvale, , United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of the Position The Sr. Clinical Development Engineer, Multiport Instruments (CDE) uses their in-depth knowledge of the surgical environment and medical technology to work with design engineers and clinicians to define, develop, and validate the clinical function of new products within our multi-port robotic platforms. The primary focus of the CDE is to establish and validate data-driven clinical requirements to ensure a high-quality patient outcome. Essential Job Duties Apply in-depth knowledge of the operating room environment and of the da Vinci Surgical

Applied AI Engineer Los Angeles, CA About the company General Matter is enriching uranium in America. Our goal is to design, build, and operate the world's lowest-cost enrichment services in the United States. Our mission is to restore America's ability to produce nuclear fuel-fuel that will power AI, advanced manufacturing, critical industries, and the next generation of nuclear reactors. Ultimately, our work will help power national ambitions and enable a high-energy society. We were incubated by Founders Fund, like Anduril and Palantir before us, and are backed by top-tier investors. Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production. We are a mission-driven company with a culture of urgency, accountability, and transparency. Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable. About Th is Role General Matter has a massive body of critical-path engineering work ahead - nuclear licensing, integrated safety analysis, design criteria, technoeconomic modeling. Conventional timelines for this work are too slow. We believe there is an opportunity to reinvent every single engineering workflow using modern AI. The Applied AI team embeds with engineering teams across the company with a single focus: make existing engineering workflows significantly faster. You identify the bottleneck, build the tool, and move to the next problem. This is an opportunity to define what AI-first engineering looks like at a nuclear company. The nuclear industry has done things the same way for decades.

Senior Applied Researcher San Francisco, United States of America Apple Services Engineering (ASE) builds experiences that touch hundreds of millions of customers every day. From personalized recommendations to proactive intelligence and large-scale commerce systems, we are transforming how users discover, engage, and transact across the Apple ecosystem. The ASE AI/ML organization sits at the nexus of these systems-where deep applied research, advanced machine learning, and large language models converge to drive high-impact innovation at unprecedented scale. We are seeking a Senior Applied Researcher with demonstrated expertise in Generative AI, LLM architectures, and advanced NLP systems. This role is ideal for a hands-on technical leader who has taken novel ideas from research inception to production deployment, and who thrives in environments where ambiguity, scale, and cutting-edge innovation intersect. Here, you won't just push the boundaries of what's possible today-you'll define what's next. What Sets This Role Apart This is not a narrow modeling position. You will influence and implement foundational intelligence capabilities across Apple Services-spanning language understanding, behavioral inference, discovery, and growth optimization-while operating with the autonomy and scope expected of senior technical leadership at Apple. Architect, design, and deploy LLM-powered systems that unlock new capabilities for personalization, intelligent automation, and customer understanding across Apple's services ecosystem. Lead research in areas such as large-scale representation learning, semantic modeling, topic induction, natural language understanding, and retrieval-augmented generation (RAG). Develop and evolve taxonomies, embeddings, and model architectures capable of disentangling complex user or content behaviors in high-dimensional, unstructured data. Drive LLM fine-tuning, evaluation,

Sr. Equipment Engineer Mexicali, , Mexico Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position: The Senior Equipment Engineer is responsible for designing, developing, validating, and maintaining manufacturing equipment to ensure efficient, compliant, and high-quality production of medical devices. This role drives continuous improvement initiatives using Six Sigma methodologies, establishes equipment standards, and provides technical leadership, including mentoring junior team members. Essential Job Duties Lead the design, specification, and procurement of new manufacturing equipment and tooling. Develop and maintain equipment standards and documentation for consistency and compliance. Apply Six Sigma principles (DMAIC, SPC, root cause analysis) to optimize

Applied LLM Research Engineer, Input Experience Cupertino, United States of America From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our work has been featured in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools, Summarization, Smart Reply as part of Apple Intelligence in 2024! Building on years of innovation in intelligent systems and on-device machine learning, we are now scaling efforts in bringing powerful foundation models directly into everyday workflows. We are looking for Applied LLM Research Engineer to innovate and develop technology that brings powerful foundation models directly into everyday user workflows, across languages, writing styles, and personal context, in a privacy-preserving way. You will build, run, and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the experimentation and iteration that makes the user experience feel magical. You will join an ambitious, collaborative team in a unique position to bridge the gap between cutting-edge ML research and features used by millions. You will work closely with cross-functional partners in human interfaces, user studies, internationalization, and system integration. You are not just developing technology; you are crafting experiences

Senior Clinical Development Engineer- SP, I&A Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of the Position The Senior Clinical Development Engineer (CDE) uses their in-depth knowledge of the surgical environment and medical technology to work with design engineers and clinicians to define, develop, and validate the clinical function of new products within our Single-port surgical robotic platform instrumentation and accessories. The primary focus of the CDE is to establish and validate data-driven clinical requirements to ensure a high-quality patient outcome. Essential Job Duties ​​ Apply in-depth knowledge of the operating room environment and of

Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems Bay Area, CA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role As a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals & Systems, you will build production ML systems that transform customer behavior, product context, model outputs, and feedback loops into trusted signals used by recommendations, ranking, risk-aware decisioning, growth, and customer intelligence systems. This role centers on customer intelligence and reusable model-derived signal systems: ranking and retrieval, recommendations, search, propensity and churn/LTV, next-best-action decisioning, experimentation, and feedback loops. These systems help product, growth, fraud, and risk teams make better decisions with clear freshness, provenance, confidence, and evaluation guarantees. The work combines production ML systems with composable signal interfaces that can be consumed by product surfaces, decision engines, internal tools, and verified AI-assisted workflows. The role is flexible across Applied ML Engineering domains

Software Engineer - Product (Mid to Senior) San Francisco, CA Compensation: Competitive base salary and meaningful equity Benefits: Health & dental insurance, gym reimbursement, daily team meals, commuter benefits We are an early stage applied AI startup building agents that automate knowledge work with code. We're on a mission to enable one billion humans to become software creators, and we are starting with a focus on data science and analysis use cases. Today, Julius writes and executes 1 million lines of code every 36 hours, has served over 1 million users and generated over 3 million data visualizations. We're a small technical team with experience from Uber, Facebook and Scale AI. We're making revenue and we're backed by some of best investors like AI Grant, YCombinator, Bessemer Venture Partners and founders of Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, Dropbox and researchers from OpenAI and Google DeepMind. Building intuitive and performant user interfaces is critical to making Julius easy to use for over 1 million users. Our interface has several moving parts including tool use, multi-step reasoning, code generation, code execution, file and secrets management, and more. You will get to define and build the experiences for all of these as we scale to our future milestones. What you'll do: - Build products that bring AI capabilities to millions of people - Design and implement intuitive, responsive, and performant user interfaces - Optimize application performance and ensure cross-browser compatibility What we're looking for: - 3+ of experience with React, Next.js,

Staff Mechanical Design Engineer, MP Systems Sunnyvale, , United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Staff Mechanical Engineer reports to a Manager of Mechanical Design Engineering and plays a key role in the development, stabilization, and scaling of da Vinci robotic platforms. This individual applies broad experience and professional judgment to resolve complex mechanical and manufacturing challenges, with a focus on new enhancement integration, complex root cause investigation and solutions and product scalability. Success in this role depends on the ability to independently assess variable factors, drive decisions that align with program goals,

Applied AI Engineer Remote Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define

Solutions Applied Data Scientist, Healthcare Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview We are hiring a Solutions Applied Data Scientist to help design, construct, and validate complex healthcare data cohorts used for AI model training. This role sits within the delivery organization , working closely with Solutions Leads and delivery engineers to solve complex data challenges that arise during customer projects. - Solutions Leads own the customer relationship and overall delivery of projects. The Solutions Applied Data Scientist serves as their technical partner for more complex data problems , including cohort construction, multi-source dataset assembly, feasibility analysis, and data validation. - You will help translate research generated by Protege's Data Lab and customer requirements into practical dataset definitions, determine whether those requirements can be

Research Engineer - Agency and Reasoning San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning , you will be a core contributor to Zyphra's Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping skillset - A researcher who can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks - Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. - Experience with context-length extension methods - A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning - Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) - Previously published machine learning research in well-respected venues - Highly proficient with PyTorch and Python

Sr. Software Dev Engineer, AWS Healthcare AI Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. At AWS Healthcare AI, we're at the forefront of revolutionizing healthcare delivery through innovative AI solutions that serve millions globally. We're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring challenges in the industry. As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the complete technical lifecycle, from system design, to implementing robust distributed systems, and developing AI-powered healthcare solutions. You'll be working on transformative products that leverage generative and agentic AI to enhance clinical and administrative workflows for healthcare providers. Your work will directly contribute to improving patient care, enhancing operational efficiency, and delivering exceptional value to our customers. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture Seattle, Washington, USA Are you passionate about using data science to transform how businesses understand and optimize customer interactions at scale? Do you want to build the models and analytics that power the next generation of AI-driven customer experiences while working directly with customers to accelerate production deployments? As a Senior Applied Scientist within the Applied AI Solutions team, you will collaborate across AI Velocity Teams (AIVT), enabling multiple customer engagements simultaneously. You will lead data science initiatives that span the full lifecycle - from identifying high-value business problems and formulating hypotheses, through rigorous experimentation and modeling, to deploying production-grade solutions that serve thousands of customers. You will bring deep expertise in statistical inference, machine learning, and experimental design to drive measurable impact across Amazon Connect's analytics products and broader Connect AI initiatives. A critical dimension of this role is working directly with customers during production pilots to accelerate time-to-value. You will partner with Applied AI Solutions Architects and Customer Success Specialists to design, build, and deploy AI solutions in customer environments during fixed deployment cycles. You will enable field teams with data-driven insights, reusable analytical assets, ROI tools, and scalable tooling that accelerate customer engagements and solution delivery. Your work will directly influence customer decisions to adopt Connect Customer AI by quantifying business outcomes and demonstrating measurable value. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with applied scientists, software

Applied Scientist, AWS Central Economics and Science San Francisco, California, USA AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion. Key job responsibilities • Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions • Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems • Stakeholder Collaboration: Work with business stakeholders to understand requirements, validate

Staff UX Designer, YouTube Creators Monetization Zürich, Switzerland At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products. As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: “Focus on the user and all else will follow.” Influence stakeholders across functions to gain support for design strategies. Drive the development of innovative design solutions to user, product, and business problems. Drive a holistic design process, design system, or design language across teams