Research Intern - World-Action Foundation Model, Robotics Applied IntuitionResearch Intern - World-Action Foundation Model, RoboticsSunnyvale, CaliforniaSupported 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.
ML Engineer - Healthcare Data Curation & Model Workflows Stanford UniversityML Engineer - Healthcare Data Curation & Model WorkflowsStanford, CA$122,929–$145,389 / yearWORKING CONDITIONS: May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. Perform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area.
Staff AI Engineer, Data Analytics & Modeling - Office of the CTO SonatusStaff AI Engineer, Data Analytics & Modeling - Office of the CTOSunnyvale, California$188,000–$300,000 / yearThe pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
Building the Experimental Engine for Models of Life InceptiveBuilding the Experimental Engine for Models of LifePalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Computational design of biological experiments for model development InceptiveComputational design of biological experiments for model developmentPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
NewProduct Manager - Business Model Strategy AdobeProduct Manager - Business Model StrategySan Francisco, California$141,700–$205,150 / yearAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. This particular role will focus on opportunities within the Firefly Enterprise (FFE) portfolio of products, which focuses on providing enterprises creative workflow automation and brand management solutions which leverage innovative GenAi and agentic solutions and deploy novel revenue models.
Machine Learning Research Engineer, Model Evaluation WindBorne SystemsMachine Learning Research Engineer, Model EvaluationPalo Alto, CaliforniaWindBorne 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.
Software 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.
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).
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.
Software Engineer - Model Products BasetenSoftware Engineer - Model ProductsSan Francisco, CaliforniaDesign, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving. Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups.
Software 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.
Technical Program Manager, Model Alignment and Deployment Character.AITechnical Program Manager, Model Alignment and DeploymentRedwood City, CaliforniaTogether, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products—working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving.
System Performance Modeling Engineer Advanced Micro Devices, IncSystem Performance Modeling EngineerSanta Clara, CaliforniaAs a Senior Modeling Engineer, you will collaborate closely with architecture, design, verification, and software teams to develop system models that support architecture exploration, design validation, and software development acceleration. The ideal candidate is a curious and highly motivated engineer who enjoys solving complex system-level challenges and working across multiple engineering disciplines.
Deals Services - Manager, Strategic Finance And Fp&A, Advanced Decision Modeling RSMDeals Services - Manager, Strategic Finance And Fp&A, Advanced Decision ModelingSan Francisco, CA$112,100–$225,500 / yearThe salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. Develops and reviews complex, fully integrated financial models, including operating, cash flow, valuation, and transaction models, to support strategic decision-making.
NewResearch Scientist - World Model Luma AI, Inc.Research Scientist - World ModelRedwood City, CAYou'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. You'll invent next-generation world-model architectures and the controllability that lets an agent step into a generated world, and own the metrics that define success.
Research Scientist - World Model LumaResearch Scientist - World ModelRedwood City, CaliforniaLuma already trains the strongest generative video models in the industry; the next step is turning those models into world models — interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. WHAT YOU'LL DO - Invent next-generation world model architectures — diffusion, transformer, autoregressive, or hybrid — with a particular focus on controllability and physical consistency.
AI Engineer, Model Quality and Performance Cerebras SystemsAI Engineer, Model Quality and PerformanceSunnyvale, CaliforniaYou'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use cases. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use.
Member of Technical Staff - Imagine Model SpaceXAIMember of Technical Staff - Imagine ModelPalo Alto, CA$180,000–$440,000 / yearDomain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video). ABOUT THE ROLE: As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video).
AI/ML Engineer - Model Inference GMAI/ML Engineer - Model InferenceSunnyvale, California$117,700–$221,400 / yearThe team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops.