3,554 ml engineer jobs at 894 companies in California
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Staff ML Engineer
Palo Alto or Seattle or Paris
$205k-$330k/yrRemoteFull Time
Docker: Privately held container application platform helping developers build, share, and run applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEMSc or PhD in computer science, electrical engineering, or related field, or equivalent experience; 8+ years in applied ML or AI research; expertise in deep learning, diffusion models, foundation models, simulation, and ML deployment.
Vancouver or San Francisco or San Jose or Cork or London
$160k-$180k/yrHybridFull Time
Tigera: Secures and observes Kubernetes workloads and AI agents, and created Cali Open Source.
5+ YOERequires 5+ years of ML engineering experience, including 2+ years deploying production ML systems, strong classical ML and anomaly detection skills, LLM application experience, Python, ML frameworks, telemetry data, and communication skills.
Sciforium: AI infrastructure building multimodal models and high-efficiency serving software for developers and teams.
5+ YOE5+ years of ML/AI software engineering experience, production ML systems expertise, and a BS, MS, or PhD in a technical field or equivalent experience. Requires generative AI and distributed ML framework knowledge.
RivianNASDAQ: RIVN: Electric adventure vehicle and technology manufacturer.
5+ YOE5+ years building and scaling ML solutions for auto-labeling and AV perception; strong Python, perception pipeline and system engineering experience; BS/MS/PhD in CS/Robotics/Electrical Engineering or related.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Private cloud analytics platform helping business and technical teams analyze live warehouse data and build AI applications.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEMSc, PhD, or equivalent experience; 8+ years in applied ML or AI research; deep learning, diffusion, generative, foundation models, simulation, and end-to-end ML development expertise.
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
MS or PhD in CS/Robotics/ML or related; experience leading technical teams delivering production ML systems; deep expertise in robotics planning/control, imitation or reinforcement learning, generative models, and large-scale ML; strong software engineering skills in Python and C++.
Macroscope: Software providing AI-powered code review and engineering status tools for development teams.
3+ YOE3+ years applied ML experience; experience building, training, fine-tuning, or evaluating ML models; dataset creation and evaluation; experiment design; familiarity with LLMs and reinforcement learning techniques.
MakerMaker: Private U.S. AI research building autonomous research agents for recursive self-improvement.
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.
Mach9: AI CAD software for civil-engineering and infrastructure teams, turning LiDAR into engineering-ready maps and CAD deliverables.
Master's/PhD or equivalent experience; strong computer vision and deep learning background; experience productionizing ML models; knowledge of 3D geometry; proficiency in Python and production ML libraries.
Raindrop: AI-agent monitoring platform helping engineering teams detect, trace, and fix silent production failures.
Experience scaling applications and building or using AI products and tools; able to balance speed and quality, understand customers, and build well-designed products.
Databricks: Data and AI software providing a unified platform.
4+ YOEMaster's in ML/data science or related field, strong production ML experience, cloud/distributed systems familiarity, proficiency in Python/Scala/Java; PhD preferred; 4+ years ML engineering experience preferred.
Python, Scala, Java, Apache Spark, Delta Lake, MLflow
AdobeNASDAQ: ADBE: Empowering everyone to create through innovative digital experiences.
14+ YOE14+ years experience in AI/ML, deep expertise in NLP/CV/Generative AI, LLM fine-tuning, MLOps, distributed training, and mentoring senior engineers.
FICONYSE: FICO: Public analytics software serving businesses with credit scoring, fraud prevention, and decision-management tools.
M.S. or Ph.D. in a technical field, industry experience in analytic software or ML, strong programming in 2+ languages (C/C++, Java, Python), experience with cloud/distributed systems, SQL/no-SQL, Linux, and ML fundamentals.
General Legal: AI-native law firm serving growing companies with flat-fee commercial, corporate, and employment legal services.
5+ YOERequires 5+ years in software, machine learning, or infrastructure engineering; Python proficiency; production ML infrastructure, cloud, distributed systems, containers, independent system design, and a Computer Science degree or equivalent.
Technical portfolio deploying AI/ML solutions; strong computer vision, deep learning, neural architecture, multimodal, spatial intelligence, production programming, and model optimization experience. MSc or PhD preferred.