Sr Machine Learning Manager, Data for Foundation Models - SIML Apple IncSr Machine Learning Manager, Data for Foundation Models - SIMLCupertino, CAM.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience 3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research Experience managing cross-functional projects, connecting initiatives to engineers interests, and helping engineers grow through mentorship and empathy 8+ years of experience training state-of-the-art generative or understanding models Proficiency in ML frameworks and distributed data processing pipelines as a hands on technical leader Excellent communication skills and an ability to drive clarity in ambiguous circumstancesPrior hands-on research experience working with data and building models Recent projects and experience with modern visual generative AI for images or videos Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.
Research Scientist - World-Action Foundation Model, Robotics Applied Intuition IncResearch Scientist - World-Action Foundation Model, RoboticsSunnyvale, CA$126,000–$423,000 / yearSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. We're looking for someone who has: Strong research record in the fields of 3D vision, reconstruction and generation for robotics and autonomous systems, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics.
Sr. Staff ML Engineer, Autonomy Model Pretraining Rivian Automotive IncSr. Staff ML Engineer, Autonomy Model PretrainingPalo Alto, CA$265,000–$331,000 / yearRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
ML Model Serving Engineer SesameML Model Serving EngineerSan Francisco, CaliforniaOur team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Partner with ML infrastructure and training engineers to build a fast, cost-effective, accurate, and reliable serving layer to power a new consumer product category.
Model Policy, Frontier Cyber Risk OpenAIModel Policy, Frontier Cyber RiskSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.
Senior Financial Analyst, Gemini for Enterprise Model Serving Google LLCSenior Financial Analyst, Gemini for Enterprise Model ServingSunnyvale, CAWe are the Gemini for Enterprise product finance team that supports Google Cloud Platform (GCP)'s vast array of AI products including Gemini API, Gemini Enterprise Applications, Gemini Enterprise Solutions, Vertex Agent and Model Platforms, and other AI Solutions. We are an integral partner and strategic financial advisers to the Cloud leadership team, advising on how to invest resources to grow a strong and sustainable business.
Senior Applied Scientist, Delivery Foundation Model Amazon.com IncSenior Applied Scientist, Delivery Foundation ModelSanta Clara, CALead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders. In this role, you"ll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments.
Principal Engineer, Model Development Platform Wayve Technologies LtdPrincipal Engineer, Model Development PlatformSunnyvale, CA$295,500–$335,300 / yearYou''ll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines, and optimization algorithms, and through architecture and mentorship you''ll enable teams to build platform capabilities that measurably accelerate model development and fleet learning. Experimentation & scheduling systems - Build systems that optimize how models are tested in simulation and on-road, using techniques like linear programming and heuristic optimization to balance hardware, safety, and research priorities while improving throughput and turnaround.
Product Manager, Core Models OpenAIProduct Manager, Core ModelsSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Quantitative Analytics Manager, Affirm Bank Model Governance Affirm IncQuantitative Analytics Manager, Affirm Bank Model GovernanceCARemote$220,000–$280,000 / yearFull-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models-including machine learning and traditional statistical models-focusing on conceptual soundness, data integrity, and performance stability. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse.
Staff Software Engineer, Applied Research, Foundation User Models GoogleStaff Software Engineer, Applied Research, Foundation User ModelsMountain View, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Senior Data Engineer- Large Driving Model, Autonomy Rivian Automotive IncSenior Data Engineer- Large Driving Model, AutonomyPalo Alto, CA$179,000–$223,800 / yearRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Member of Technical Staff - System Modeling Simulation Unconventional AIMember of Technical Staff - System Modeling SimulationPalo Alto, CASystems Engineering (Analog/Digital): Familiarity with hardware-level concepts like circuit dynamics, signal processing, or transfer functions is highly desirable to help ground our digital models in physical reality. Advanced Neural Modeling (PyTorch or JAX): proficiency in PyTorch or JAX, specifically in building custom autograd functions and integrating numerical solvers (e.g., Neural ODEs) to represent dynamic processes.
Senior Machine Learning Engineer - Large Driving Model (Behavioral Alignment) Rivian Automotive IncSenior Machine Learning Engineer - Large Driving Model (Behavioral Alignment)Palo Alto, CA$179,000–$223,800 / yearRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Analyst (Energy and Climate Modeling) Energy InnovationAnalyst (Energy and Climate Modeling)San Francisco, CA$80,000–$100,000 / yearModify and run energy and climate models, with a focus on our in-house climate and energy policy model, the Energy Policy Simulator (EPS) including designing, implement, and running policy scenarios; finding, transforming, and inputting data; calibrating and testing policy scenarios; and adjusting model inputs to reflect project-specific assumptions. The target national salary range is $80,000 to $100,000 with adjustments made for people in higher-expense markets, i.e. the San Francisco Bay Area, New York City, and Washington D.C. Equity is incredibly important to the organization, and a pay audit for equity is completed annually. .
Senior Scientist, Cardiac Modeling InsitroSenior Scientist, Cardiac ModelingSouth San Francisco, CA$156,000–$166,000 / yearIn this role, you will own the development and application of iPSC-derived cardiomyocyte (iPSC-CM) models to study the genetic and molecular underpinnings of cardiovascular disease - working at the intersection of human stem cell biology, cardiac physiology, and scalable experimental platforms to generate the datasets that fuel our ML-driven drug discovery efforts. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.
NewData Designer and Model Merge API Integration SandboxData Designer and ModelSan Jose, CaliforniaETL and Data Integration : Work with data engineers to design and implement ETL (Extract, Transform, Load) processes, ensuring seamless integration of diverse data sources into the data warehouse. Continuous Improvement : Stay up to date with emerging data modeling trends, technologies, and industry best practices, and continuously enhance the organization’s data strategies.
Senior GPU Functional Modeling Architect NVIDIA CorpSenior GPU Functional Modeling ArchitectSanta Clara, CAWhat we need to see: • BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field • with 5+ years of experience in related areas • Proficient programming skills in C++, C, and scripting languages such as Python or Perl • Solid background in Computer Architecture with experience in modeling (System C & TLM preferred) • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and LangChain • Strong problem-solving and debugging skills, with a track record of driving issues to closure • Effective communication and interpersonal skills, with the ability to work successfully in a distributed team environment • Strong collaboration skills with design and engineering teams. What you'll be doing: • Modeling of GPU architecture, baseboard components and other features • Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models • Familiarize with different functional and performance simulation models across Nvidia and work through modeling features • Develop tests, test plans and testing infrastructure for new architectures/ features • Guide the improvement of the simulation platform and expand other resources to support future GPU architectures • Develop or use AI to help with day-to-day tasks.
Principal Modeling Engineer Intuitive Surgical IncPrincipal Modeling EngineerSunnyvale, CAU.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).
Performance Modeling Lead OpenAI LLCPerformance Modeling LeadSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.