Principal Roboticist, Robot Foundation Model Wayve Technologies LtdPrincipal Roboticist, Robot Foundation ModelSunnyvale, CAYou will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
Roboticist, Robot Foundation Model Wayve Technologies LtdRoboticist, Robot Foundation ModelSunnyvale, CA$184,200–$240,000 / yearYou will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM Amazon.com IncSr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTMSan Francisco, CAThis involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.
Staff Software Engineer, Model as a Service, Cloud AI Google LLCStaff Software Engineer, Model as a Service, Cloud AISunnyvale, CAWere 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. Our Model as a Service (MaaS) aims to provide a much needed new level of abstraction to remove the complexity of development and provide large GenAI models as a scalable, cloud-based service with an enhanced suite of tools to facilitate the use, integration, and model management.
Research Intern - World-Action Foundation Model, Robotics Applied Intuition IncResearch Intern - World-Action Foundation Model, RoboticsSunnyvale, CASupported 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. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Senior Product Manager, ML Modeling & Platform KlaviyoSenior Product Manager, ML Modeling & PlatformPalo Alto, CA$136,000–$204,000 / yearIn addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. You'll be the only PM on the team, embedded with engineering in Palo Alto, and you'll need to earn credibility by speaking the language — not by knowing how to code, but by knowing enough about distributed training, inference tradeoffs, and ML developer experience to make good calls and ask the right questions.
Machine Learning Research Engineer, Model Evaluation WindBorne SystemsMachine Learning Research Engineer, Model EvaluationPalo Alto, California$140,000–$240,000 / yearWindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. Evaluation strategy — Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models.
VP, Bioassays, Cell Models, And Genomic Screening InsitroVP, Bioassays, Cell Models, And Genomic ScreeningSouth San Francisco, CA$290,000–$326,000 / yearLead innovation: Provide strategic, technical, and operational leadership in the development, validation, and implementation of disease-relevant cell models, genomic screening (phenotypic pooled optical screening and arrayed screening), and supporting assay development for drug discovery. In this leadership role, your primary responsibilities will be to: Drive insitro's discovery engine: Set the strategic vision for cell models, image based and genomic screens, as well as bioassay development and execution across all therapeutic areas, fueling our target and drug discovery ML engine.
Machine Learning Research Engineer, Model Evaluation WindBorne Systems IncMachine Learning Research Engineer, Model EvaluationRedwood City, CAWindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. Evaluation strategy - Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models.
Engineering Manager - Model Performance BasetenEngineering Manager - Model PerformanceSan Francisco, CaliforniaBy 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. Drive the development and deployment of large-scale optimization techniques for various ML models, especially large language models (LLMs).
Technical Program Manager, Model Performance BasetenTechnical Program Manager, Model PerformanceSan Francisco, CaliforniaExperience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs.
NewSoftware Engineer - Model Performance Systems BasetenSoftware Engineer - Model Performance SystemsSan Francisco, CaliforniaBy 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. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
NewSoftware Engineer - Model Performance BasetenSoftware Engineer - Model PerformanceSan Francisco, CaliforniaBy 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. Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, KV cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
Material Response Modeling Engineer Analytical Mechanics AssociatesMaterial Response Modeling EngineerMountain View, California$120,000–$180,000 / yearWork may include modeling ablative and charring material systems; developing numerical methods and software for coupled flow–material interactions; modeling pyrolysis, decomposition, oxidation, recession, spallation, and phase-change processes; and verifying and validating models against relevant test data, including arc-jet test results. Analytical Mechanics Associates (AMA) is seeking a highly motivated Material Response Modeling Engineer to support NASA under the Aircraft Systems and Spaceflight Engineering Support Services (ASSESS) contract at NASA Ames Research Center (ARC) in Moffett Field, California.
Software Engineer – Satellite Modeling and Tasking Array LabsSoftware Engineer – Satellite Modeling and TaskingRedwood City, CaliforniaTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Implement controllers developed by GNC engineers to plan and execute satellite maneuvers, including orbit corrections and station-keeping, to optimize satellite positions and performance.
Datacenter Compute SoC Performance Modeling Architect MediaTek IncDatacenter Compute SoC Performance Modeling ArchitectSan Jose, CAYou will collaborate closely with CPU/Compute core architects, SoC architects, IP architects, workload characterization teams, and RTL designers to ensure our silicon delivers industry-leading performance-per-watt and scales efficiently to meet the demands of modern hyper-scale infrastructure. Simulator Development: Design, develop, and maintain cycle-accurate and transaction-level performance models (C++/SystemC) for multi-core datacenter SoCs, including CPU cores, memory subsystems, interconnects (NoC), and high-speed I/O (PCIe/CXL).
Senior Model-Based Systems Engineer Rondo Energy, Inc.Senior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
ML Research Scientist - Quantum Accelerated Generative Models Sygaldry TechnologiesML Research Scientist - Quantum Accelerated Generative ModelsSan Francisco, CaliforniaYou'll identify where quantum approaches can provide genuine advantage in generative workflows—not incremental improvements, but structural speedups rooted in the mathematics of these models. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications.
Staff Software Engineer, Modelling Infrastructure GoogleStaff Software Engineer, Modelling InfrastructureSunnyvale, CAYou will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape. 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.
Backend Engineer, Models Meter, Inc.Backend Engineer, ModelsSan Francisco, CA$160,000–$230,000 / yearTo make this possible, we don't just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. As described on Meter.ai, we're building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.