234 machine learning engineer jobs at 139 companies in Vacaville, 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.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
5+ YOE5+ years ML or software engineering experience, expertise in distributed systems, ML lifecycle, LLMs and RAG, production model deployment, Python and PyTorch experience.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
3+ YOEProduction ML with PyTorch; 3D geometry and calibration; early fusion architectures; transformer-based object detection; strong Python; systems/C++/Rust proficiency; data understanding and model evaluation.
Atoms: Building specialized industrial robots and physical AI systems.
10+ YOE10+ years MLE experience; deep expertise applying transformers to robotics/spatio-temporal data; multimodal, sensor-fusion, and model optimization experience; proficiency in PyTorch or JAX, Python, and C++.
Atoms: Building robotics and software to automate physical world industries.
10+ YOE10+ years MLE experience, expertise with transformers and multimodal systems, sensor fusion (camera/LiDAR/radar), PyTorch or JAX, Python and C++, and model optimization for edge deployment.
Taskrabbit: Marketplace matching freelance labor with local home service demand.
8+ YOE8+ years building and deploying production ML systems; deep expertise in ranking/recommender systems, debiasing, A/B experimentation, and system architecture. Strong Python and SQL skills; experience with ML libraries and modern data/infra tooling.
Eon Systems: Mapping and simulating biological brains for digital emulation.
Experience building large-scale connectomics/volumetric imaging pipelines, ML segmentation and reconstruction, TB–PB data handling, visualization, and collaboration with neuroscientists.
San Francisco or United States or United Kingdom or Ireland or Poland or Germany or Australia
$190k-$280k/yrRemoteFull Time
Whatnot: Social marketplace for buying and selling via live streams
5+ YOE5+ years building and deploying ML systems; expertise in personalization/ranking; strong Python, SQL, and ML framework skills; experience driving measurable business outcomes in consumer growth.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
12+ YOE12+ years software engineering experience; deep distributed systems and production AI experience; expertise with orchestration frameworks, Python, Kubernetes, Docker, SLIs/SLOs, AI safety, and strong communication.
LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, Codex, Claude Code, Cursor, Copilot, Python, Kubernetes, Docker, Model Context Protocol (MCP), Large Language Models (LLMs)
AfterQuery: Curating specialized datasets and environments to train frontier AI models.
3+ YOE3–6 years relevant experience; strong software engineering and applied ML background; experience shipping production systems and working with messy real-world data; strong data intuition and cross-team collaboration skills.