370 cloud ml engineer jobs at 128 companies in Live Oak, 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.
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.
Cloud Hardware Development Engineer, Cloud AI/ML/storage server teams
Cupertino or Seattle
$157k-$213k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years hardware development and validation; BS in electrical/computer engineering; strong English communication; experience with server hardware, storage, and cloud infra; OSS experience with ODMs/manufacturers.
x86 architecture, PCIe, NVMe, BMC, BIOS, GPU, SSD, Networking
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.
MACOMNASDAQ: MTSI: Designs and manufactures semiconductor products for communications infrastructure.
5+ YOEBachelor’s or Master’s in CS/AI/DS; 5-10 years AI/ML engineering; Python and ML frameworks; agentic AI; cloud-based architectures; collaboration across teams.
Frisco or San Jose or Newport Beach or New York or Toronto or Waterloo
$172k-$283k/yrHybridFull Time
McAfee: Provides consumer cybersecurity, identity protection, and online privacy software.
10+ YOE10+ years software development experience with technical leadership; expertise in cloud-native architecture, agentic AI/ML, full-stack development, distributed systems, Kubernetes, and modern cloud platforms.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
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
Hiring.Cafe: An AI-powered job search engine and aggregator.
Experience deploying and optimizing deep learning models in production, multi-GPU inference, profiling/benchmarking model performance, inference optimization techniques, and cloud/distributed systems familiarity.
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
MS or equivalent preferred; extensive experience designing and operating large-scale cloud-native ML platforms, Kubernetes-based infrastructure, MLOps, model governance, observability, and platform automation.
Staff Engineer, AI/ ML: Robotics & Digital Surgery - OTTAVA
Santa Clara, California, United States
$118k-$179k/yrOnsiteFull Time
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
7+ YOEBachelor’s or Master’s in CS/Data Science/Engineering; 7+ years analytics/ML in production; strong Python; ML/DevOps experience; SQL; cloud data services; manufacturing/OT domain preferred.