254 machine learning engineer jobs at 149 companies in Fairfield, 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.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
Expertise in machine learning and modeling, strong distributed systems fundamentals, ability to architect ML infrastructure for production, experience with logs/traces/metrics, and strong communication skills.
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.
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).
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
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.
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++.
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.
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.
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.
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.
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)