755 ml systems engineer jobs at 323 companies in Ross, CA
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ML Systems & Performance Engineer
San Francisco, California, United States
OnsiteFull Time
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.
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.
Physical Intelligence: Creating foundation models for general-purpose robot intelligence.
Strong software engineering fundamentals with experience building distributed systems, large-scale data pipelines, object storage and batch/streaming systems; ownership mindset and performance focus.
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.
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++.
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.
Databricks: A unified platform for data analytics and artificial intelligence.
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
ML Systems Engineer, Large-Scale Model Training & RL Infrastructure
Palo Alto, California, United States
$195k-$262k/yrOnsiteFull Time
NebiusNasdaq: NBIS: Builds cloud infrastructure and software for artificial intelligence development.
Strong Python and PyTorch skills, hands-on distributed model training and GPU cluster experience, debugging across NCCL/CUDA/PyTorch/Ray, and quantitative reasoning about throughput, utilization, memory, and cost.
Clera: AI talent agent matching professionals with high-growth 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.
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.
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.
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.
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
BS/MS in CS/CE/EE or related, strong Python and/or C++, Linux and OS fundamentals, excellent debugging, analytical and communication skills; experience with distributed systems, telemetry, and hardware-adjacent software preferred.
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience optimizing large-scale ML systems and cloud infrastructure; collaborate with researchers and engineers; based in San Francisco with hybrid work and relocation support.