1,082 ml systems engineer jobs at 368 companies in Berkeley, 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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
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.
Engram: Developing persistent memory layers for enterprise AI systems.
5+ YOE5+ years building training/inference systems; strong engineering skills; experience with ML frameworks, GPUs, distributed systems; bachelor's degree or equivalent experience.
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
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years building ML systems and software platforms; expert Python and PyTorch; experience with ML pipelines, evaluation, developer tooling, and LLM/agentic systems; BS/MS in CS, Engineering, or equivalent experience.
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.
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
7+ YOE7+ years engineering experience, 5+ years Python and ML frameworks, experience with clustering, unsupervised learning, knowledge graphs, MLOps, and productionizing agentic systems.
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.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
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.
MakerMaker: Small San Francis-based team building autonomous ML systems
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.
Achira: AI foundation models for atomistic simulation and drug discovery.
2+ YOETwo years of relevant industry experience; fluent in PyTorch and JAX; experience with asynchronous programming; strong software design; track record of observable artifacts; ML generalist with scalable ML systems knowledge.
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++.
Gap Inc.NYSE: GAP: Global specialty retailer of apparel and accessories.
10+ YOE10+ years building production ML systems; strong Python and software engineering; experience with ML frameworks, model serving, MLOps, cloud platforms, and distributed data processing.
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.
femtoAI: Developing ultra-efficient edge AI accelerator chips and software.
5+ YOE5+ years in compilers or performance engineering; Masters or PhD; experience with ML compiler frameworks; low-level optimization; design non-trivial compiler systems; hardware-aware optimization.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML research or ML systems experience; strong Python and PyTorch/JAX/TensorFlow skills; experience with Transformers, diffusion models, RLHF, and building reproducible research-to-production pipelines.
Human Computer Lab: A research-focused robotics building intelligent, embodied AI systems.
3+ YOE3+ years in machine learning for robotics or perception; proficient in Python/C++; PyTorch experience; knowledge of computer vision or multimodal AI; experience deploying ML systems to hardware.
Experienced in biomolecular modeling and ML for drug discovery; ability to fine-tune protein/structure models, build ML systems that integrate with wet-lab workflows, and evaluate model impact on drug development.