452 cloud ml engineer jobs at 206 companies in Hercules, 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.
Gritt Robotics: Developing autonomous robots to automate outdoor construction tasks.
4+ YOE4+ years deploying high-performance ML pipelines; proficient in Python; comfortable with C++/Go; PyTorch; cloud platforms (AWS, GCP, Azure); Docker/Kubernetes/Airflow; Parquet/HDF5/TFRecord; US work authorization.
Calico: Researching aging biology to develop longevity-improving therapies.
4+ YOEBS/MS with 7+ years or PhD with 4+ years in software engineering/DevSecOps/cloud architecture, strong Python, GCP, Kubernetes, Terraform, Docker experience, and onsite availability 4+ days/week.
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.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years building large-scale distributed or ML systems; strong APIs and cloud infrastructure experience; expertise in ML lifecycle and MLOps; coding in Python or C++; BS/MS/PhD in CS/Math or equivalent experience.
San Francisco or Minneapolis or Washington, D.C. or United States
$120k-$215k/yrRemoteFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
4+ YOE2+ MgmtBachelor's degree or 4+ years equivalent, 4+ years Python, 4+ years cloud infrastructure (AWS/Azure/GCP), 4+ years AI/ML infrastructure experience, 2+ years team lead, 1+ year LLM experience.
Python, AWS, Azure, GCP, Large Language Models (LLMs), GitHub, GitHub Actions, Docker, Terraform, CI/CD
Mountain View or New York City or Dallas or Miami or Seattle or Los Angeles or Chicago
$111k-$174k/yrRemoteFull Time
Cognify Analytics: A technology focused on AI solutions and ML systems.
6+ YOE5–8 years in ML engineering or related field; strong Python and ML framework experience; production ML pipelines; MLOps knowledge; cloud platforms; effective communicator.
Sr. ML Infrastructure Engineer II, Personalization
San Mateo, California, United States
$170k-$220k/yrHybridFull Time
Slickdeals: Platform for crowdsourcing and ranking consumer shopping deals.
8+ YOE8+ years in ML; end-to-end recommender systems; deep learning for recsys; PyTorch/TensorFlow; vector databases; cloud infra; strong modeling and infra skills.
CoStar GroupNASDAQ: CSGP: Global provider of commercial and residential real estate data.
3+ YOEBachelor's or equivalent experience, 3+ years ML engineering focused on model optimization/deployment, proficiency in Python, ML frameworks (TensorFlow/PyTorch), cloud (AWS/Azure/GCP), Git, and strong communication.
QualysNASDAQ: QLYS: Provides cloud-based platform for cybersecurity and compliance management.
6+ YOE6+ years combined software/ML and security research or penetration testing experience; strong Python; experience with Scikit-learn, TensorFlow or PyTorch, LangChain/LlamaIndex, vector DBs (FAISS, Pinecone, Qdrant), cloud (AWS/GCP/Azure), SQL and Pandas.
Skydio: Develops autonomous AI drones for defense and industrial inspection.
Experience with data engineering, cloud ML platforms, ML Ops, large-scale data pipelines, model training/deployment, and security/compliance in ML infrastructure; strong collaboration.
Cloud platforms, Containerization, ML Ops, Databases, Data pipelines
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
10+ YOE10+ years software engineering; 5+ years ML platforms/infrastructure; distributed systems; Python/Go/Java; Docker/Kubernetes; MLOps tools; cloud experience; knowledge of ML models.
Artificial Analysis: Independent AI benchmarking and performance analysis platform.
3+ YOE3+ years software engineering experience; strong Python, pandas and OpenAI API proficiency; experience with data-intensive backend systems, data visualization, cloud infrastructure, and leading projects end-to-end.
Experience building and operating cloud-based, high-availability services; IaC (Terraform, Ansible); CI/CD pipelines; security basics; cluster scheduling; eligible to work in the United States.
Terraform, Ansible, CI/CD, Linux, GPU clusters, Distributed training
Johnson & JohnsonNYSE: JNJ: Global healthcare providing pharmaceuticals and medical technologies.
7+ YOEBachelor's or Master's in a quantitative field, 7+ years delivering production ML/analytics (manufacturing or regulated industries preferred). Strong Python, ML libraries, Spark, MLOps, SQL, cloud (AWS/Azure), time-series/process analytics, and model governance experience.
Python, scikit-learn, TensorFlow, PyTorch, Spark, PySpark, MLflow, SQL, Databricks, Delta, AWS, Azure, MES, OPC UA, PLC, Microsoft Power BI, Tableau