1,908 ml engineer jobs at 327 companies in Morgan Hill, CA
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Staff ML Engineer
Palo Alto or Seattle or Paris
$205k-$330k/yrRemoteFull Time
Docker: Provides a platform for building, sharing, and running containerized 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.
Vancouver or San Francisco or San Jose or Cork or London
$160k-$180k/yrHybridFull Time
Tigera: Security and observability platform for Kubernetes clusters.
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.
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
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.
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
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++.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
14+ YOE14+ years experience in AI/ML, deep expertise in NLP/CV/Generative AI, LLM fine-tuning, MLOps, distributed training, and mentoring senior engineers.
MaxInsights: Provides robot data collection for physical AI development.
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Experience with large-scale ML systems and GPU computing; strong Python and C++/CUDA skills; familiarity with vLLM, PyTorch, SGLang, Ray; experience deploying and optimizing LLMs, profiling and benchmarking inference.
xAI: Develops advanced artificial intelligence systems to understand the universe.
2+ YOE2+ years building large-scale production systems or ML infrastructure; degree in CS or related field or equivalent experience; strong Python and compiled-language skills; experience with GPU and distributed systems.
Hark: Builds multimodal artificial intelligence and integrates it with next-generation hardware to deliver on-device intelligent systems.
3+ YOE3+ years building and shipping audio/speech ML models; strong fluency in PyTorch or TensorFlow; experience deploying to embedded targets (DSP, NPU, CPU); audio signal processing knowledge; full ML lifecycle experience.
PyTorch, TensorFlow, Hark Audio Engine, Qualcomm AI stacks, DSP, NPU, CPU
Mountain View or San Francisco or Kirkland or New York City
$175k-$215k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
Master’s degree in computer science, machine learning, robotics, or a similar technical field, or equivalent experience; Python, modern deep learning frameworks, and ML model development experience required.
Sodalis: AI operating system for specialty pharmacy workflows and automation.
5+ YOE5+ years building production ML systems, experience in information extraction/NLP/LLMs, eval and data-pipeline ownership, startup 0→1 experience, pragmatic modeling and clinical domain curiosity.
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
3+ YOE3+ years in inference optimization, ML systems; strong PyTorch; experience with quantization, pruning, distillation; familiarity with Triton/TensorRT; CUDA knowledge.
ML Engineer – Healthcare Foundation Model Developer
Stanford, California, United States
$89k-$166k/yrHybridFull Time
Stanford University: A private research university providing higher education and research.
3+ YOEBachelor's in engineering/science plus 3 years relevant experience; experience designing ML systems, overseeing instrumentation, supervising staff, and using software for research.
ML Systems Research Engineer, RL / Inference / Agent Systems
Santa Clara, California, United States
HybridFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experienced ML systems engineer with strong Python and ML framework skills, experience in RL/inference systems, distributed experimentation, and GPU/infrastructure workflows; advanced degree preferred.
Python, PyTorch, JAX, TensorFlow, Kubernetes, Ray, Slurm, ROCm, HIP, CUDA
San Jose or McLean or New York City or San Francisco
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor's degree plus 4 years or master's degree plus 2 years developing AI/ML technologies; 4 years programming with Python, Go, Scala, or Java. Cloud AI experience preferred.
GEICO: Provides vehicle and property insurance services to consumers.
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.
CoStar GroupNASDAQ: CSGP: Global provider of commercial and residential real estate data.
3+ YOEBachelor's or equivalent experience, 3+ years ML engineering focused on model optimization/deployment, proficiency in Python, ML frameworks (TensorFlow/PyTorch), cloud (AWS/Azure/GCP), Git, and strong communication.
QualysNASDAQ: QLYS: Provides cloud-based platform for cybersecurity and compliance management.
6+ YOE6+ years combined software/ML and security research or penetration testing experience; strong Python; experience with Scikit-learn, TensorFlow or PyTorch, LangChain/LlamaIndex, vector DBs (FAISS, Pinecone, Qdrant), cloud (AWS/GCP/Azure), SQL and Pandas.