1,842 ml engineer jobs at 338 companies in Tracy, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
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.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML/robotics experience; proficiency in Python and C++; ROS/ROS2 experience; sensor fusion and simulation experience; bachelor's degree or equivalent; proven production deployment of learning-based models.
Python, C++, ROS, ROS2, Gazebo, Isaac Sim, CARLA, MuJoCo, PyBullet
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.
Periodic Labs: Builds autonomous laboratories for AI-driven scientific discovery.
Experience with large-scale ML systems, GPU clusters, distributed training, and performance profiling; proficiency in RDMA, CUDA, and scheduling across Ray, Slurm, or Kubernetes.
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.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEExpertise in Python, AWS ML, ML fundamentals, model deployment/MLOps, SQL, and working with structured/unstructured data; 8+ years experience preferred; bachelor's in computer science.
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
Richardson or Santa Clara or Austin or Dallas or San Jose
$106k-$184k/yrOnsiteFull Time
GlobalFoundriesNASDAQ: GFS: Manufacturer of semiconductors and provider of wafer fabrication services.
5+ YOEBS/MS in EE/CE/CS (preferred), 5+ years in systems engineering/hardware architecture/ML systems or performance engineering, deep CPU/SoC expertise, AI/ML edge acceleration experience, familiarity with MLIR/IREE/TVM/TFLite, English fluency, US work authorization, up to 10% travel, 100% in-office.
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.
GlobalFoundriesNASDAQ: GFS: Semiconductor foundry providing chip design and fabrication services.
5+ YOEBS (required) or MS (preferred) in EE/CE/CS, 5+ years in systems engineering/hardware architecture/ML systems or performance engineering, deep CPU/SoC expertise, MLIR/IREE/TVM/TFLite familiarity, strong cross-functional communication; US work authorization required.
Mountain View or New York City or Dallas or Miami or Seattle or Los Angeles or Chicago
$111k-$174k/yrRemoteFull Time
Cognify Analytics: A technology focused on AI solutions and ML systems.
6+ YOE5–8 years in ML engineering or related field; strong Python and ML framework experience; production ML pipelines; MLOps knowledge; cloud platforms; effective communicator.
ML Systems Research Engineer, RL / Inference / Evaluation
Santa Clara, California, United States
$179k-$306k/yrOnsiteFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Build RL, inference, and evaluation infrastructure for ML systems; strong Python and ML framework experience; distributed systems and experiment management; BS in CS/CE/EE/ML or equivalent.
Python, PyTorch, JAX, TensorFlow, Kubernetes, Ray, Slurm, ROCm/HIP, CUDA
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.