Software Engineer, Machine Learning Platform ProfluentSoftware Engineer, Machine Learning PlatformEmeryville, CAThe Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design. On the design side, you'll build the infrastructure and software that empower our design team to tackle an increasing number of protein design challenges with greater speed and less friction - the inference stack, model APIs, and design pipelines, for example.
Machine Learning Engineer, Search Quality Glean Technologies, Inc.Machine Learning Engineer, Search QualityMountain View, CA$140,000–$265,000 / yearRecognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
Senior Machine Learning Engineer - ML Training Infrastructure General MotorsSenior Machine Learning Engineer - ML Training InfrastructureSunnyvale, CA$170,000–$240,800 / yearAs a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. Benefit 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.
Machine Learning Research Scientist SentraMachine Learning Research ScientistSan Francisco, California$150,000–$300,000 / year5+ years building novel systems in machine learning, NLP, knowledge graphs, or related areas with evidence through publications, production implementations, or significant open-source contributions. You will design and implement systems that maintain execution state for entire organizations, consolidate millions of micro-events into durable knowledge, and learn patterns that predict events before it happens.
NewMachine Learning Engineer - Infrastructure Transparent Search GroupMachine Learning Engineer - InfrastructureSan Francisco, California$200,000–$400,000 / yearTARGET COMPANIES (suggested (physical AI / weather)): Google DeepMind, NVIDIA (Earth-2), Waymo, Cruise, Aurora, Isomorphic Labs, Microsoft Research (Aurora weather). If you have built large-scale ML infrastructure for language, vision, robotics or biology models and want to bet on a counterintuitive technical thesis, this is the role.
Senior Software Engineer, Machine Learning Infrastructure Stryder CorpSenior Software Engineer, Machine Learning InfrastructureSan Francisco, CAYou'll help teams move quickly from prototype to production while building the reliable, high-performance systems that power training, evaluation, and inference across Handshake. This team powers both Handshake's core career marketplace and Handshake AI by building the shared infrastructure behind our production ML and AI systems.
Senior Machine Learning Engineer (Multiple Opportunities) S32Senior Machine Learning Engineer (Multiple Opportunities)Palo Alto, CaliforniaTo further our commitment to driving the growth of S32's portfolio companies, we are looking for Senior Machine Learning Engineers who are enthusiastic about developing products and taking charge of projects from initial concept to final launch. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
Founding Machine Learning Engineer CompositeFounding Machine Learning EngineerSan Francisco, CAUnlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused "AI browsers," we run AI directly through professionals' existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction. You'll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.
Machine Learning Engineer RelaceMachine Learning EngineerSan Francisco, CaliforniaWe power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design.
Machine Learning Engineer Sprinter Health IncMachine Learning EngineerSan Francisco, CAThe ideal candidate thinks in systems rather than notebooks, knows what a model needs to become production-ready, and builds clean interfaces between data, models, and product. We're looking for an ML Engineer to build the production systems that train, deploy, monitor, retrain, and serve our machine-learning models reliably.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning NebiusSenior Machine Learning Engineer, Model Training and Reinforcement LearningPalo Alto, California$195,200–$262,200 / yearThey can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. Design and run model-training and post-training experiments, including SFT, continued pretraining, preference optimization (DPO/IPO/KTO), and RL methods such as RLHF/RLAIF, PPO, and GRPO.
Member of Technical Staff - Machine Learning Engineer Asari AIMember of Technical Staff - Machine Learning EngineerSan Francisco, CaliforniaOur team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust .
Machine Learning Engineer HappyrobotMachine Learning EngineerSan Francisco, CaliforniaWe started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products.
Senior Machine Learning Engineer, LLM Inference Optimization NebiusSenior Machine Learning Engineer, LLM Inference OptimizationPalo Alto, CaliforniaWorking closely with kernel and platform engineers, you will evaluate serving configurations, resolve performance and quality regressions, and optimize inference for real-world workloads, supported by reproducible benchmarks and safe production rollouts. Your work will span model internals, inference engines, serving architecture, and benchmarking, with a focus on improving latency, throughput, memory efficiency, GPU utilization, and cost per token while maintaining model quality and reliability.
Senior Machine Learning Engineer, Driving Behaviors Waymo LLCSenior Machine Learning Engineer, Driving BehaviorsMountain View, CA$213,000–$263,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
2027 Summer Intern, MS/PhD, Machine Learning, Simulator Evaluation Waymo LLC2027 Summer Intern, MS/PhD, Machine Learning, Simulator EvaluationMountain View, CASince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
NewMachine Learning Engineer Transparent Search GroupMachine Learning EngineerSan Francisco, California$200,000–$400,000 / yearIf you have built large-scale ML infrastructure for language, vision, robotics or biology models and want to bet on a counterintuitive technical thesis, this is the role. Research and test training approaches, including parallelization techniques and numerical-precision trade-offs across model scales.
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML Waymo LLCSenior Machine Learning Engineer, Vehicle Interaction & Behavior Policy MLMountain View, CA$213,000–$263,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Machine Learning Research Scientist VoltaiMachine Learning Research ScientistMenlo Park, CaliforniaBacked by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing. About the Team Our founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn.
Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock RoboticsMachine Learning Engineer: Imitation and Reinforcement Learning for RoboticsSan Francisco, CaliforniaIn this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production. 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems.