505 ml systems engineer jobs at 267 companies in Vallejo, 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.
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.
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.
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.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
10+ YOE5+ Mgmt10+ years in distributed systems; 5+ years leadership; cloud infra with Python/C++/Go; ML/devops; Kubernetes; SQL/NoSQL; BS/MS/PhD in CS/EE/Math/Physics.
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.
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.