Senior/Staff Machine Learning Engineer, Sensor Simulation NuroSenior/Staff Machine Learning Engineer, Sensor SimulationMountain View, CA$193,930–$291,150 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Powered by the Nuro Driver, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
Senior AI Researcher The Biological Computing Co.Senior AI ResearcherSan Francisco, CaliforniaOur Algorithm Discovery Platform brings together biology, computational neuroscience, AI research and software engineering to develop new algorithms, architectures and neurally-optimized software for generative video and next-generation AI infrastructure. We study how biological neural networks process information, extract useful computational principles and translate those insights into software that makes modern AI models better, faster and more efficient.
NewSenior Research Engineer Pop-Up TalentSenior Research EngineerSanta Clara, CASolve some of the most challenging problems in wireless geolocation and location intelligence with advanced software-based location technologies used in public safety, national security, telecommunications, and commercial applications worldwide by leveraging AI, machine learning, and large-scale analytics to transform location data into actionable intelligence. Non-Terrestrial Networks (NTN), including LEO satellite positioning, RTT-based methods, ephemeris modeling, or hybrid terrestrial/non-terrestrial architectures.
Machine Learning Research Engineer, Agent Data Foundation - Enterprise Genai Scale AI, Inc.Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set.
Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise Genai Scale AI, Inc.Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearAs a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Technical Program Manager, Automation GridwareTechnical Program Manager, AutomationSan Francisco, California$160,000–$180,000 / year130,000 - $180,000 a year Mid Level Technical Program Manager- $130,000-150,000 base salary Senior Level Technical Program Manager- $160,000-180,000 base salary At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. Role Description As a Technical Program Manager (TPM) for the Machine Learning and Automation organization, you will be responsible for driving execution, coordination, and communication across multiple ML teams and their software counterparts.
Staff Machine Learning Infrastructure Engineer ATOMSStaff Machine Learning Infrastructure EngineerSan Francisco, California$224,000–$280,000 / yearYou will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
Machine Learning Engineer, Frontier Data Products MercorMachine Learning Engineer, Frontier Data ProductsSan Francisco, CaliforniaYou'll build the ML systems that power Mercor's Frontier Data Products: the infrastructure that scores, validates, and improves complex work products where correctness is rarely binary and labels are often noisy, delayed, or disputed. This is applied ML product engineering under real production constraints — incomplete ground truth, shifting requirements, latency and cost tradeoffs, and workflows where a silent model failure corrupts the final output.
Member of Technical Staff - Machine Learning PlixMember of Technical Staff - Machine LearningSan MateoYou’ll lead efforts to deploy and fine-tune state-of-the-art machine learning models and computer vision pipelines, build robust ML infrastructure, and ensure we remain at the forefront of multimodal AI advancements. Preferred Qualifications Experience working with or deploying video and/or multimodal large language models (LLMs) for tasks such as captioning, summarization, or question answering.
Intern - Software/ML Engineer Human Computer LabIntern - Software/ML EngineerSan Francisco, CaliforniaYou will work closely with the team to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic hardware — turning research and simulation into reliable, production-ready robotics software. Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.).
AI Linguist - Hybrid Genesis10AI Linguist - HybridMountain View, CA$38.61–$45.48 / hourTemporaryContractorFull timeRanked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
Staff Machine Learning Engineer - Foundation Model XPeng MotorsStaff Machine Learning Engineer - Foundation ModelSanta Clara, CA$215,280–$364,320 / yearDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Machine Learning Engineer, Platform Brain Co.Machine Learning Engineer, PlatformSan Francisco, CaliforniaYou understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. You'll build the machinery that keeps that promise: capturing production corrections, triaging failures to the component that caused them, and turning that signal into retraining and safe redeployment — automatically, across every use case.
Staff Machine Learning Engineer ATOMSStaff Machine Learning EngineerSan Francisco, California$273,000–$345,000 / yearA visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
Machine Learning Infrastructure Engineer, Safeguards Research AnthropicMachine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise Genai Scale AI, Inc.Machine Learning Systems Research Engineer, Agent Post-Training - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system.
Machine Learning Research Engineer, Agents - Enterprise Genai Scale AI, Inc.Machine Learning Research Engineer, Agents - Enterprise GenaiSan Francisco, CA$264,800–$331,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets - including defining highly performant tools, multi-agent systems, and complex rewards.
AI Engineer Kasmo IncAI EngineerSanta clara, CADevelop and implement solutions using NLP, Large Language Models (LLMs), Agentic AI, and computer vision technologies where applicable. Manage the end-to-end machine learning lifecycle, including data preparation, experimentation, deployment, monitoring, and optimization.
Senior Staff Machine Learning Engineer TapestrySenior Staff Machine Learning EngineerMountain View, CaliforniaPartner closely with Tapestry’s machine learning technical leads, Power Systems Scientists, Software Engineers, Product Managers, and global utility partners to translate complex, large-scale grid data into actionable insights that improve grid planning, operations, and maintenance. Own the technical roadmap and system architecture for Tapestry’s multimodal intelligence engines, scaling models across multimodal machine learning, graph neural networks, geospatial and remote-sensing data, reinforcement learning for physical control systems, and multi-turn agentic systems.
Applied Machine Learning Engineer, Economist MercorApplied Machine Learning Engineer, EconomistSan Francisco, CaliforniaYou'll study and shape marketplace dynamics — matching efficiency, pricing, incentives, liquidity, and supply/demand balance — and turn those insights into mechanisms and metrics that directly affect fill rate, hiring speed, earnings, and revenue. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.