Applied Intuition jobs

Applied AI Architect, Applied AI (Digital Natives Business) Munich, Germany 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 role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises 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 success - Support customers building with

Applied AI Scientist - Multimodal Intelligence Seattle, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative

Human Factors Engineer – Human Engineering Cupertino, United States of America At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences. Imagine what you could do here. Bring passion and dedication to your job and there's no telling what you could accomplish. We are the Human Engineering Human Factors team. We conduct mixed-methods user research and create actionable insights that guide the design and development of Apple products. The role requires working at the intersection of many disciplines, on a variety of projects and with multiple partners. Curiosity to delve into new domains, the ability to learn from cross-functional, often highly technical partners and quick thinking are key. Ideal candidates are passionate user advocates, with the ability to anticipate, study and observe user interactions. They are technical and able to utilize and customize quantitative log collection, while also intuitively relating to the user and applying their intuition. The Human Engineering Human Factors team works closely with many teams around the company to conduct human centered research and create actionable insights to inform product decisions. Responsibilities include: Applying Human Factors Engineering (HFE) techniques and principles at all phases of product/technology development Exercising independent judgment in the development of study methodology, data collection efforts, data analysis, conclusions, and design recommendations Developing user study criteria and detailed methodology for widely varied projects, spanning from formative to evaluative, and qualitative to quantitative Conducting user-centered research and evaluation on a diverse user population, and utilizing experimental data and scientific publications

Sr. Applied Science Manager, Perfect Order Experience (POE) AI Seattle, Washington, USA The Perfect Order Experience (POE) AI team combines artificial intelligence, machine learning, and economic insights to ensure exceptional customer experiences and seller success on Amazon. We develop advanced scientific solutions that protect product authenticity, maintain quality standards, and safeguard intellectual property across Amazon's vast catalog. Our work spans from building detection systems using state-of-the-art Large Language Models to creating automated investigation processes and risk treatment mechanisms. Our solutions directly impact billions of customer interactions and enable millions of sellers to thrive while maintaining the highest standards of trust and quality. We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics. Key job responsibilities - Drive AI strategy and lead a team of applied scientists in developing ML solutions. - Lead the end-to-end development of a domain specific LLM. - Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets. - Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.

Model Behavior Tutor - Epistemic Rigor & Truthfulness Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will ensure Grok reasons carefully, resists motivated reasoning, and communicates uncertainty and evidence proportionately. RESPONSIBILITIES: - Assess model outputs for factual accuracy, logical coherence, fallacious reasoning, and hidden assumptions. - Identify subtle ideological capture, statistical fallacies, and rhetorical sleights of hand. - Write exemplary reasoning that models intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, and scoping of confidence. - Construct adversarial examples and red-team prompts to expose remaining epistemic weaknesses. - Contribute to the definition and scaling of constitutional principles for truth-seeking behavior. BASIC QUALIFICATIONS: - Published analytical work and academic training in a high-rigor field. - Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors. - Deep knowledge in at least three of: philosophy of

Staff AI/ML Architect, Embodied AI 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. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. 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 We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Staff AI/ML Architect, you will own the end-to-end architecture of our applied-AI system: a hierarchical, multimodal stack in which a high-level model interprets sensory observations and produces structured intent, and a low-level policy turns that intent into precise, safe, real-time

Applied Research Engineer, Agents NYC, New York, United States, San Francisco About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock , KKR , Carlyle , Centerview , and 40% of the world's largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. The Team Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We've built our own agentic frameworks powered by distributed systems built for scale. We don't build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown

Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling Cupertino, United States of America AI represents a big opportunity to elevate Apple's products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. Our team provides an opportunity to be part of an incredible research and engineering organization within Apple. The ideal candidate for this role will have industry experience working on a range of modeling problems, including Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Learning from Human Preferences and Training Large Language Models (LLMs). Working knowledge of large-scale data processing especially with structured data, probabilistic modeling and statistics will broaden your role and effectiveness in this position. As an Applied Research Scientist on our team, you will design and implement ML algorithms that process data in different Apple products. You will train Generative AI models and Agentic systems using deep reinforcement learning to solve hard problems. Where necessary, you will also work on integrating ML/RL frameworks into our products to train large-scale agents and leverage cloud services to enable scalable and distributed training/simulation of agent behaviors. You

Product AI Engineer Chicago, Illinois, United States of America Are you an AI engineer who loves building from zero? Join our team to rapidly prototype and ship AI-powered solutions for financial professionals. This is a high-ownership, entrepreneurial discovery environment where you'll help shape the problem space, engage directly with stakeholders, and turn loosely defined ideas into working prototypes. You'll thrive amid ambiguity, iterate quickly based on real customer feedback, and apply strong product intuition to drive evidence-based product decisions with a small, dedicated, cross-functional team.

Sr. Applied Scientist, Amazon B2B Payments and Lending, Credit and Fraud Science New York, New York, USA If you are excited about applying your science and engineering skills in business problems in the space of Credit management, B2B Financial Service, and Payments, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payments and Lending (ABPL). ABPL is seeking a Senior Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features & processes that will delight our customers. Key job responsibilities As a Sr. Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon. Responsibilities include: - Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies including GenAI innovations, agentic AI frameworks, and foundation models, and to improve customer experience and business outcomes - Apply advanced data mining, machine learning, and Generative AI techniques to create AI/ML capabilities and support Credit and Fraud Management - Source, incorporate, and analyze alternative data to drive innovation,

Applied AI Engineer Bengaluru | OnSite We're hiring an Applied AI Engineer to build the next generation of AI copilots inside Clueso. This role is about turning fast-moving LLM and vLLM capabilities into reliable, production-grade systems. You'll work on agents that understand context, reason over complex inputs, and assist users inside real workflows not demos, not prototypes. We care far more about how you think than any specific framework. If you're genuinely sharp, curious, and have spent real time working with modern AI systems, you'll do great here. WHAT YOU'LL WORK ON - Building AI copilots that operate inside real product workflows - Designing agent architectures that combine LLMs, vLLMs, and deterministic systems - Translating fuzzy user intent into structured, reliable actions - Evaluating new models as they ship-and rethinking pipelines when capabilities change - Debugging and improving AI systems based on real user behavior, not benchmarks - Working closely with product and engineering to ship AI features end-to-end This is not a research role. It's applied, hands-on, and deeply tied to shipping. WHAT WE'RE LOOKING FOR - 2+ years working with modern AI systems, LLMs, or applied machine learning. - Exceptionally strong problem-solving ability and technical judgment - Prior experience working with LLMs or vLLMs in non-trivial systems - Comfort operating in ambiguous problem spaces with incomplete information - Ability to reason about tradeoffs between AI-driven and deterministic approaches - Strong software engineering fundamentals (you write clean, debuggable code) We don't care where you learned this-startup, big tech, research

Sr Applied Scientist, Applied AI Solutions Seattle, Washington, USA About us As part of the AWS Applied AI Solutions organization, our vision is 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. Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day-putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Applied Scientist with expertise in large language models, agentic systems, and foundational models. You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tunning, reinforcement learning, etc. You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and bring state-of-art applied research that raises the bar for the entire team. Key job responsibilities • Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production • Build, optimize, and deploy ML models while collaborating with software engineers

Applied AI Transformation Manager - APAC Singapore | OnSite WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts

Production Digitalization Intern (Fall 2026) Location not specified Battery specialists at the BMW Group are in their element. The ability to convert energy into determination and vision into reality is particularly necessary. The reaction product needs to be unparalleled driving pleasure - our vehicles' hallmark. Description: Support the ramp up of our battery production by developing digital solutions that increase product quality, efficiency and data transparency. Working to correlate large data systems together and creating insights that intuitively guide our engineers to more efficient problem solving. Lead the development of Digital solutions in relation to Data Science, Software Engineering and AI, that are directly implemented to support project success. Identify and act upon opportunities to improve processes and systems by applying technical knowledge. Plans and implements improvements within Battery Plant related to the specific digitalization strategy. Take ownership of project areas, taking a solution from inception to delivery and presenting the results to management. Participates in cross-functional project teams supporting activities to derive insights during our production ramp up. Supports Plant / Battery Plant targets and goals for Production, Quality, Safety and Costs. Adheres to 5S and Safety Standards and Principles. Complex data pipeline development for key IT systems to enable analytics. Develop Intuitive Dashboards and Data Systems to support decision making. App development for automating/digitalizing manual processe

Software Engineer, Applied AI New York | OnSite WHY AUCTOR Auctor is building the AI layer for professional services and software implementation. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and onboarding teams-automating the documentation, the discovery, and the decision-making that powers $400B+ in services work. We're going after one of the biggest software categories of the decade. ROLE OVERVIEW As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production. This role sits at the boundary of engineering and empirical research. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration. Some weeks you will be shipping new capabilities. Some weeks you will be mining production traces, designing evals, and figuring out which part of the system is actually failing. We are not looking for someone to glue an API onto a product and call it AI. We are looking for someone who wants to build real agent systems, understand how they behave in the wild, and use that understanding to make bold product and architecture decisions. This role is based in New York, NY, in person 5 days per week. WHAT YOU'LL DO - Build and improve the core systems behind our agents across retrieval, tool use, document understanding, memory, and orchestration - Design evals and experiments that help us understand agent quality in production - Turn traces, failures, and user behavior into concrete product and architecture decisions

Senior Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine

Applied Scientist, AWS Applied AI Solutions New York, New York, USA As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated AI 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. The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities * Design and implement solutions that extend or adapt scientific approaches for customer needs * Deliver components into production that meet high quality standards (efficient, reproducible, testable code) * Produce science outputs demonstrating correctness, scholarship, and scientific rigor * Work with product, engineering, and science teams to deliver impactful AI features * Contribute to operational excellence in the team's deliverables About the team AWS Solutions As part of the AWS solutions organization, we

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Applied AI Inference Engineer San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Applied AI Inference Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. You'll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI - The fastest, most accurate Whisper transcription

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Senior Applied AI Engineer Austin | OnSite Applied AI Engineer Location: Onsite 5 days a week in Austin, TX, relocation is offered. Level is a learning technology company dedicated to helping students build real academic and life skills with confidence and joy. We combine proven curriculum principles with world class interactive design to make meaningful practice something students want to come back to, not something they struggle through. We support what teachers, schools, and parents are already doing by increasing student engagement with high quality, standards aligned practice that reinforces classroom learning. That's why we're building: For students: Rewarding and motivating learning experiences that meet students where they are to build real academic proficiency. For educators: Tools that fit naturally into instruction and help students stay engaged while reducing teacher workload. For parents: Activities that help your kid catch up or get ahead, build confidence, and minimize homework battles, whether learning at school or at home. We are committed to helping every person maximize their potential and live a life of meaning. It's a difficult problem that requires brilliant people and tremendous effort over time. What You'll Do: - Ship production agentic systems- Design and build agents and agentic workflows that solve a defined problem end to end. You own prompts, tools, retrieval, guardrails, observability, cost and latency budgets, and rollout. - Automate SME workflows- Identify high-leverage operational toil (review pipelines, content QA, labeling and ops loops, support triage, internal copilots) and partner with the SMEs running those workflows to

Applied AI Scientist Culver City, United States of America We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The Applications team is looking for an outstanding Applied AI Scientist who will strengthen our team's capabilities in statistical modeling, machine learning, and foundational AI development. This role will drive innovation in building scalable ML and AI solutions that enhance our product intelligence, improve automation, and expand our AI-driven capabilities across business domains. The Applied AI Scientist will work on designing, developing, and implementing sophisticated machine learning and AI models to solve complex problems, particularly for creative applications like our video editing apps. The role involves building end-to-end ML pipelines, prototyping novel AI-powered features, developing AI tools, and collaborating closely with engineering, product, and marketing partners to bring intelligent solutions into production. The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective collaboration and measurable impact in a fast-paced environment. Minimum Qualifications: PhD in Computer Science, Statistics, Mathematics, or a related quantitative field with 3+ years

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Brand Designer 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 Position: We are looking for a Brand Designer who can help build and evolve Intuitive's identity. This role sits within our Global Brand team-a multi-disciplinary group comprised of design, writing, strategy, media, production, social, account management, and project management. This highly collaborative team is responsible for crafting, evolving, and protecting Intuitive's look and feel, and activating across products, business units, and global regions. The design team focuses on the creativity and quality of our visual storytelling, ensuring all brand and marketing touchpoints reinforce Intuitive's