Applied Intuition jobs

Senior Applied Economist, Causal Inference & Forecasting Palo Alto, CA or San Francisco, CA Navan is seeking a Senior Applied Economist to join the Data Science & Machine Learning team. This is a foundational, "first-of-its-kind" role at Navan, designed for a technical leader who can bridge the gaps between hands-on machine learning, rigorous economic theory, and driving business outcomes. In this role, you will be the primary architect of our internal economic "brain." You will move beyond point-estimate forecasting to build sophisticated models that account for market nuances, uncertainty, and causal drivers. You will partner closely with Finance, Treasury, and FP&A to steer the company's financial trajectory, while providing the strategic frameworks that Sales and Pricing teams use to maximize customer adoption and revenue. What You'll Do: Next-Generation Forecasting: Uplevel our existing forecasting pipelines (currently built on Prophet). You will integrate econometric rigor to improve accuracy and, crucially, provide a range of likely outcomes (probabilistic forecasting) that Finance and Treasury can rely on for risk management. Causal Inference & Strategy: Design and execute experimental and quasi-experimental frameworks to identify the "levers" of the business. You will answer critical questions regarding price elasticity, product feature attribution, and the ROI of sales incentives. Strategic Blueprinting: Partner with Sales and Account Management to create data-driven frameworks for pricing and customer retention. You will translate complex causal models into actionable blueprints for go-to-market teams. Production-Level Data Science: Work hands-on within our ML infrastructure. You will write production-quality Python code to deploy models into our

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 an Applied Scientist who wants to work at the intersection of 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 Learning and Statistics -

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Applied AI Coach Georgia - Atlanta; California - Irvine; New York - New York; California - San Francisco; Colorado - Denver The Applied AI Coach is part of our new Outcome Acceleration team. Our team works with Agentforce to stay ahead of customer needs and ensure AI delivers real results. In this role, you will own the customer journey from the first sale until their AI deployment is stable and delivering value. You'll bridge the gap between building AI and realizing the business outcomes it was promised to bring. This is a hybrid role, based out of our SMB Hub, requiring an on-site presence 3 days per week. Responsibilities Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case Run four-week sprints to diagnose and resolve performance issues when AI results are lagging Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports Track AI agent deployment and adoption weekly to ensure stability in production Required Qualifications Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support Proven ability to work directly with customers to solve problems and communicate technical concepts clearly Hands-on experience with prompt engineering, vibe-coding tools, or LLMs Strong analytical skills with the ability to interpret outcome models and prove the value of AI Clear understanding of how AI

Sr Mgr, Applied Science, AWS Supply Chain Seattle, Washington, USA The AWS Supply Chain organization is looking for a Sr. Manager of Applied Science to lead science and data teams working on innovative AI-powered supply chain solutions. As part of the AWS 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. Are you excited about developing state-of-the-art GenAI/Agentic AI based solutions for enterprise applications? As a Sr. Manager of Applied Scientist at AWS Supply Chain, you will bring AI advancements to customer facing enterprise applications. In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will be leading a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in

Principal, Applied Scientist, AWS Applied AI Solutions Seattle, Washington, USA Join us if you're excited about pushing the boundaries of what's possible in physical AI, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale. We are seeking an exceptional Principal Applied Scientist to drive technical innovation in visual reasoning foundation models. You will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems. You will lead the efforts of building a next-generation visual reasoning engine powered by frontier Large Video Models (LVMs). Your mission is to build a system that rivals human understanding of the physical world-moving far beyond the static perception of detection and tracking into the realm of deep spatial-temporal reasoning. This is not a passive computer vision tool; it is an agentic collaborator capable of interpreting natural language instructions, navigating unstructured environments, and executing complex tasks. You will sit at the high-stakes intersection of LVMs, LLMs, and Agentic AI, engineering systems that don't just 'see' but reason and act within the physical world. You will own end-to-end technical solutions from research to production deployment, driving innovation through hands-on research, prototyping, and deployment while delivering production impact. Key job responsibilities - Direct the technical vision for next-gen visual reasoning, pioneering the use of LVMs to solve high-dimensional spatial-temporal problems - Design and implement novel deep learning architectures combining a multitude of modalities, including image, video,

New York New York

Principle Applied AI Engineer Carrollton, Texas; Cary, North Carolina PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. Job Overview As the Principal Applied AI Engineer, you will be the lead architect of the "cognitive" layer of the AI platform. While the Backend Principal builds the deterministic infrastructure, you will engineer the probabilistic systems that power our "Unified Context Library" and "Agentic Orchestration" layer. You will design the autonomous workflows that turn a Product Manager's idea into a technical specification, and a User Story into deployable code. This role sits at the intersection of elite software engineering and applied artificial intelligence. You will not be training foundational models from scratch; rather, you will be mastering the art of Applied AI: orchestration, retrieval-augmented generation (RAG), and the engineering of agentic systems using the AWS Bedrock AgentCore framework. You will work within the AI Platform Services division, a dedicated R&D unit tasked with delivering measurable velocity improvements to the entire organization. Why Join Pennymac? ● Architect the Future of SDLC: You will build the "Agent Factory" that drives our "conveyor belt" of

Senior Applied AI Lead, Talent USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Our Talent AI Team: We are at a very exciting stage of evolution at Netflix. As we experience growth in our employee population, lines of business, geographical footprint, and workforce heterogeneity, it is imperative that the Talent function evolves accordingly to shape and support this progress. One of the most critical parts of this evolution is the foundation upon which we can scale personalized and inclusive experiences for the workforce. Our Talent AI team is focused on helping to drive change at scale. The team is fundamentally helping to find ways to drive AI powered solutions in how we attract, develop, and retain the extraordinary people who power our business, while also helping to drive greater AI adoption and fluency across Talent. This team is critical in identifying, prototyping, and shipping AI-powered capabilities across the full Talent lifecycle. The team works closely with all functional areas across Talent - as well as Netflix's central AI teams. The Role: We are looking for a Senior Applied AI Lead who can bridge the gap between Talent's biggest opportunities and what is possible with today's AI

Senior Applied Research Engineer Barcelona, Spain About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. Key responsibilities - Profile end-to-end distributed training runs to identify bottlenecks across compute, GPU memory, and inter-GPU communication - Contribute to architectural decisions that improve the efficiency and reliability of large-scale training jobs, including developing Triton/CUDA kernels when needed - Design and implement model scaling, parallelization, and memory optimization techniques for training workloads with very large context sizes - Collaborate closely with ML Researchers to diagnose architectural inefficiencies, ensure new research ideas scale efficiently in practice, and spread internal knowledge about model efficiency and optimization - Drive the productionization and serving of our models from the research side, including improving inference efficiency through techniques such as quantization Must have - Strong understanding of modern ML architectures and large-scale training pipelines - Experience running distributed training jobs on multi-GPU systems - Advanced

Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (T3/T4) (f/m/d) Region Europe | Country Germany | Internal Posting Location Garching We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do: As Applied Senior/Staff Scientist, you will lead the mission to evolve the SAP-RPT model family into experts of structured business data. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. Bridging the gap between research scientists focusing on model architecture and data experts, you will ensure our models are not just technically sound, but business-fluent. This is a hands-on role where you will directly implement the techniques that allow our models to navigate the intricacies of relational schemas and enterprise logic. This is the ideal role for a highly focused, ambitious individual with both a strong technical and coordinating background and your chance to contribute to one of the very few leading foundation models of

Applied Scientist II, Trustworthy Shopping Experience (TSE) Bengaluru, Karnataka, IND Are you passionate about solving complex business problems at scale through Generative AI? Do you want to build intelligent systems that reason, act, and learn from minimal supervision? Are you excited about taking innovative AI solutions from proof-of-concept to production? If so, we have an exciting opportunity for you on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy. We give customers confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. As an Applied Scientist, you will lead the development of next Gen AI solutions to automate complex manual investigation processes at Amazon scale. You will work on some of the most fascinating challenges in applied AI-building systems that reason and act autonomously, learn rich representations from structured and relational data without extensive labels, adapt rapidly from limited examples, improve through feedback and interaction, seamlessly connect visual and textual understanding, and compress complex model capabilities into efficient, deployable systems. Your innovations will deliver significant impact to cost-of-serving customers while maintaining the highest standards of trust and safety. This role offers end-to-end ownership-from initial

Principal Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As a Principal Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: - Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. - Work in an agile, startup-like development environment, where you are always working on the most important stuff. - Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - PhD, or Master's degree and 8+ years of applied research experience Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer

Contract Negotiator Peachtree Corners, GA, 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 Contract Negotiator is key in Intuitive's commercial contracting. As the main communicator for sales contracts, the Contract Negotiator works with Intuitive's salesforce, leadership, internal management, over 10 departments, and customers for compliance and mitigation of risk in commercial contracts. The Contract Negotiator handles tasks like contract drafting, negotiating, and finalizing commercial contracts. This is done professionally in a high-pressure environment with tight deadlines. Responsibilities: Contract Drafting and Negotiation. Prepare, review, and negotiate complex customer contracts, including sales agreements for Intuitive's products

Product Management Product Management

Applied AI/ML Engineer Bengaluru, Karnataka, India Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. As an Applied AI and ML Engineer in Finance Data and Analytics (DnA) team, you will lead the technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions to transform legacy finance processes into AI-native workflows. You will operate at the intersection of advanced machine learning and product-driven transformation. You will not just build models, design self-sustaining, self-correcting agentic systems that partner with finance Googlers to drive unprecedented efficiency across Google's finance organization. Lead the technical design of multi-agent workflows, utilizing a various toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems. Build, prototype, and scale end-to-end AI agents. Outline system architectures that prioritize reliability, usability, and auditability ensuring clear human-in-the-loop interfaces for finance professionals. Take prototypes from isolated testing environments to scaled production systems. Design and deploy high-availability model endpoints with health checks, error handling, retries, and fallback mechanisms. Implement evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making. Partner closely with Product Managers, Engineers, and Finance stakeholders to translate

Applied AI Engineer (EDA), Platform Architecture Austin, United States of America Apple's Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams. In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification. Design and deploy autonomous AI agents to review design changes, resolve conflicts, and triage elaboration and simulation errors. Develop AI-driven workflows to flag simulation performance and design concerns, automatically tune design parameters, and explore optimization candidates autonomously. Apply internal and external EDA tools (e.g., Logic Equivalence Checking, wave dumps, design libraries) to automatically diagnose issues and explore design alternatives. Build and maintain AI harnesses, scripts, and infrastructure to support continuous research and experimentation. Conduct data-driven experimentation to optimize prompts and harnesses; measure and improve token efficiency, task completion, and hallucination rates. Track and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in

Hiring Process Hiring Process

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Applied AI Engineer Sapien HQ — NYC, New York, United States Who we are Sapien is rethinking how finance teams operate in the age of AI. We're building toward an autonomous CFO -systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers' bottom lines. We partner with traditional businesses-manufacturing, healthcare, restaurants, and large enterprises-to deeply understand and automate their financial workflows. We're HQ'd by Madison Square Park in NYC and backed by General Catalyst, Neo , and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). The role You'll build the AI agent capabilities that power Sapien's autonomous finance operations. This means designing novel architectures for reasoning over complex financial data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations. This is a research-meets-product role. You'll work on cutting-edge agent capabilities-from observability and library learning to semantic search and multi-modal parsing-and ship them directly into production for customers. What you'll do - Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows. - Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions. - Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and

Trade Compliance Analyst Mexicali, MEXICO, 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: Under general supervision from the Senior Manager MX Trade Compliance, the Trade Compliance Analyst becomes responsible for applying trade compliance practices and policies within the business, identifying areas where they are out of compliance, and offering suggestions for how to make necessary modifications. This requires regular review and research into governing authorities' current rules and regulations. including but not limited to data collection, data analysis, continuous improvement, processes efficiency, process planning standardization, projects development, and automation among others all Trade Compliance operation's related

Applied AI Engineer Sydney, Australia 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. As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. Responsibilities: - Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success - Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation - Guide technical architecture decisions and help customers build state-of-the-art products & workflows with

Software Development Engineer, AWS HealthOmics 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. Genomics researchers, drug discovery teams, and scientists shouldn't need to manage compute resources and workflow engines - they should be focused on scientific breakthroughs. AWS HealthOmics is a HIPAA-eligible service that fully manages bioinformatics workflow infrastructure at scale, and our Usability Team's mission is to make the experience feel effortless. As an engineer on this team, you'll build the APIs and developer tools that put genomic analysis directly into customers' workflows: the Kiro plugin, SDK, and platform APIs that support thousands of bioinformatics pipelines daily. You'll tackle problems like: How do we design APIs that developers enjoy using? How do we build scalable solutions that make complex pipelines feel intuitive to the end user? You'll work across the stack - from service architecture and API design to the integration points that shape the customer experience. You'll partner with UX designers and product managers, use data to drive

Applied AI Engineer (AI Adoption) New York, Chicago, London Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. What You'll Do We are seeking an AI Adoption Engineer to serve as the primary technical partner for Jump's back office teams, including Finance, Legal, HR, and other non-trading functions, as they integrate AI into their day-to-day work. This role sits at the intersection of AI research, infrastructure, and core business applications. As a hands-on AI expert, you will pair with developers and AI champions across the firm to identify high-value use cases, build solutions using Jump's internal AI platform, and work closely with R&D and infrastructure to unlock new capabilities as needed. You will own the full lifecycle of back office AI solutions, from discovery and stakeholder conversations to prototyping, deployment, and ongoing iteration, while establishing best practices for prompting, agent design, evaluation, robustness, and responsible AI use. We believe that driving successful adoption across the