2,318 senior ml engineer jobs at 572 companies in San Bruno, CA
1w
Save
Mark Applied
Hide
1w
Senior ML Engineer, Metropolis
Santa Clara, California, United States
$184k-$357k/yrOnsiteFull Time
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.
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.
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.
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
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.
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Canada or Seattle or Santa Barbara or San Diego or Toronto
$152k-$228k/yrRemoteFull Time
Invoca: Privately held SaaS platform helping marketing, commerce, and contact-center teams convert customer conversations into revenue.
5+ YOE5+ years of ML engineering experience; advanced Python, PyTorch, and deep learning; production NLP model deployment; SLM/LLM fine-tuning; inference infrastructure; production APIs; MLOps and model monitoring.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEMSc or PhD in computer science, electrical engineering, or related field; 8+ years in applied ML or AI research; expertise in deep learning, diffusion models, foundation models, simulation, and ML deployment.
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.
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.
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.
Clera: AI-powered talent agent matching candidates to startup roles.
4+ YOE4+ years applied ML engineering in production, experience with LLMs/fine-tuning/RAG or large-scale recommender systems, strong Python and PyTorch or JAX skills, distributed training/GPU/inference serving experience, and mentoring ability.
Ellipsis Health: Healthcare AI providing an emotionally intelligent voice care manager for health plans and health systems.
5+ YOEBachelor's in CS/ML/Statistics/Engineering or equivalent; 5+ years software development (or 2+ post-PhD); advanced Python and distributed ML experience (PyTorch, JAX, TensorFlow); proven production LLM/agent deployments; technical leadership.
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: U.S. bank-owned fintech and consumer reporting agency providing identity, fraud-risk, and real-time payment solutions to financial institutions.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
Neurophos: Private semiconductor developing photonic AI inference chips for data centers.
5+ YOEPhD or equivalent research experience; 5+ years in ML engineering and 3+ in model optimization/deployment. Requires quantization, numerical optimization, PyTorch, transformer, LLM, and diffusion model expertise.
GEICO: A leading provider of auto and property insurance.
8+ YOE8+ years building production AI/ML applications, 5+ years owning end-to-end generative AI systems, experience with LLMs, agentic workflows, CI/CD and cloud deployments; bachelor’s in CS or related field.