Senior AI Agent Engineer LiberateSenior AI Agent EngineerSan Francisco, Massachusetts$120,000–$210,000 / yearIn this role, you will work closely with customer success, sales, product, and engineering teams to deliver AI-driven solutions that drive measurable value for our customers. We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our customers' technical needs, ensuring successful deployment and integration.
Research Fellowship - Mechanistic Interpretability VmaxResearch Fellowship - Mechanistic InterpretabilitySan Francisco, CaliforniaTrack record of research excellence or strong research promise, demonstrated through publications, preprints, open-source work, technical projects, competitions, or publicly available artifacts. We use the tools of mechanistic interpretability to enhance reinforcement learning by generating intrinsic rewards as a supplement or alternative to downstream human-generated verifiers.
Staff/Sr Staff Electrical Design Engineer LightmatterStaff/Sr Staff Electrical Design EngineerMountain View, CA$186,000–$250,000 / yearYou will lead and own HW systems efforts, collaborate closely with teams across hardware and software, including mechanical, packaging, and IC engineering, to design, integrate, troubleshoot and release system-level products at the leading edge of innovation. The company invented the world's first 3D-stacked photonics engine, Passage, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Senior/Staff Machine Learning Engineer, Motion Planning PlusAI Inc.Senior/Staff Machine Learning Engineer, Motion PlanningSanta Clara, CA$130,000–$220,000 / yearWe're looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.
Machine Learning Infrastructure Engineer Character AIMachine Learning Infrastructure EngineerRedwood City, CAIn just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
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.
Head of Robot Learning Anvil RoboticsHead of Robot LearningSan Francisco, CaliforniaA typical req for a "Head of Robot Learning" would ask for a PhD plus 5–8 years; we're looking for 2–4 unusually fast-growing years — or 1–2 on a steep curve — spent as the research engineer beside a strong robot learning lead: the person who made the lab's or team's work actually run on hardware, closed a growing share of the hard problems personally, but never owned the direction because someone above them did. The data flywheel: DAgger / human-in-the-loop correction workflows on our teleop stack, so policies improve from intervention data instead of plateauing after the first training run — and, as your protocols mature, scaling collection beyond yourself: designing what dedicated data-collection operators record in our factory and, over time, in partner facilities.
Principal AI/ML Engineer, AV ML Infra GMPrincipal AI/ML Engineer, AV ML InfraSunnyvale, CaliforniaBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more.
Senior Machine Learning Engineer, Vehicle Perception Woven Planet Holdings CoSenior Machine Learning Engineer, Vehicle PerceptionPalo Alto, CA$140,000–$230,000 / yearOur work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for onboard perception. 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Machine Learning Engineer, API Multicloud OpenAIMachine Learning Engineer, API MulticloudSan 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. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads.
Senior Mobile Engineer AbridgeSenior Mobile EngineerSan Francisco, CaliforniaPowered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.
Reinforcement Learning Researcher (Humanoid) REKReinforcement Learning Researcher (Humanoid)San Francisco, CaliforniaThis role sits at the intersection of research and applied engineering: youll design algorithms, implement simulation environments, train agents, and test them on full-scale humanoid robots. As we scale globally, were building a world-class robotics and AI team to push the limits of humanoid motion, balance, and control through reinforcement learning and sim-to-real transfer.
Senior Machine Learning Engineer – Predictive World Model XPeng MotorsSenior Machine Learning Engineer – Predictive World ModelSanta Clara, CA$174,720–$295,680 / yearDefine and build the evaluation methodology for predictive world models, spanning representation quality, prediction accuracy, generation fidelity, physical plausibility, long-horizon rollout consistency, and ultimately closed-loop policy performance, then feed the resulting models back into training as a source of synthetic data and corner-case simulation. In this role, you will research, implement, and evaluate world models that learn the dynamics of the physical world from large-scale multimodal data — predicting how a scene evolves under an agent's actions, and serving as a learned simulator for training and evaluating driving and robotic policies.
Senior Software Engineer - Machine Learning Infrastructure ATOMSSenior Software Engineer - Machine Learning InfrastructureSan Francisco, California$176,000–$230,000 / yearBuild and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.
Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems SK hynix memory solutions AmericaSr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic SystemsSan Jose, California$140,000–$165,000 / yearYou’ll be responsible for setting up scalable AI environments, implementing RAG pipelines, fine-tuning embedded models, and architecting AI agents that operate autonomously in enterprise settings. Responsibilities : Design and deploy on-prem AI infrastructure — including GPU clusters, model serving (e.g., vLLM, TGI, Triton), vector DBs (e.g., Milvus, Qdrant, FAISS), and orchestration (Kubernetes, Helm, Docker).
Data, Privacy, & Cybersecurity Associate Attorneys (Transactional) Gables Search GroupData, Privacy, & Cybersecurity Associate Attorneys (Transactional)Palo Alto, CA$225,000–$420,000 / yearThe successful candidate will join an industry-leading team advising both private and public companies across a broad range of innovative sectors, including artificial intelligence and machine learning, cloud computing, software, and fintech. This is an exceptional opportunity to work on sophisticated privacy, data processing, and cybersecurity matters arising in c orporate and technology transactions, including mergers and acquisitions, public offerings, and other strategic commercial transactions .
Research Engineer I / II- Theodoris Lab The J David Gladstone InstitutesResearch Engineer I / II- Theodoris LabSan Francisco, California$61,326–$71,185 / yearThe laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated AI research engineer with a strong background in computer science and machine learning to join her research program in the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology. A meaningful place to grow and learn –whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and excellent environment.
Security Engineer BasetenSecurity EngineerSan Francisco, CaliforniaSecurity architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform.
Forward Deployed Engineer (Training) BasetenForward Deployed Engineer (Training)San Francisco, CaliforniaForward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following: Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE).
Machine Learning Infrastructure Engineer Genesis TherapeuticsMachine Learning Infrastructure EngineerSan Mateo, CAYou will work alongside machine learning researchers, computational scientists, and engineers to build the infrastructure that transforms massive, heterogeneous protein and chemical datasets into reliable, high-performance inputs for our models and drug discovery workflows. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction.