808 ml engineer jobs at 141 companies in Lathrop, 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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
14+ YOE14+ years experience in AI/ML, deep expertise in NLP/CV/Generative AI, LLM fine-tuning, MLOps, distributed training, and mentoring senior engineers.
MaxInsights: Provides robot data collection for physical AI development.
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Experience with large-scale ML systems and GPU computing; strong Python and C++/CUDA skills; familiarity with vLLM, PyTorch, SGLang, Ray; experience deploying and optimizing LLMs, profiling and benchmarking inference.
Hark: Builds multimodal artificial intelligence and integrates it with next-generation hardware to deliver on-device intelligent systems.
3+ YOE3+ years building and shipping audio/speech ML models; strong fluency in PyTorch or TensorFlow; experience deploying to embedded targets (DSP, NPU, CPU); audio signal processing knowledge; full ML lifecycle experience.
PyTorch, TensorFlow, Hark Audio Engine, Qualcomm AI stacks, DSP, NPU, CPU
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEMS/PhD in CS, Math, ML, Robotics; 3+ years experience; strong software engineering; familiarity with robotics stack and modern ML; PyTorch/TensorFlow.
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.
BlackLineNASDAQ: BL: Provides cloud software to automate financial close and accounting.
2+ YOE2+ years programming (Python/Java/Scala); expertise in ML frameworks and orchestration; production ML/LLM pipeline experience across GCP/AWS/Azure; LangChain/LangGraph/ADK familiarity; CI/CD, IaC, DevSecOps, observability, containerization skills.
SkyGig: Develops beamforming technology for high-speed wireless broadband communications.
Currently pursuing a CS/EE/Applied Math degree; strong Python; experience with PyTorch, TensorFlow, or scikit-learn; data processing with pandas/NumPy/SciPy; ML model evaluation; software engineering practices and collaboration skills.
eBayNASDAQ: EBAY: Global online marketplace for buying and selling diverse products.
7+ YOEBS/BA or MS in CS or related with 7+ years experience; strong ML on operational/time-series data, anomaly detection, LLM/GenAI experience, Python/Go, Kubernetes/Docker, PyTorch/TensorFlow/scikit-learn, SQL/NoSQL.
Python, Go, Kubernetes, Docker, PyTorch, TensorFlow, scikit-learn, SQL, NoSQL, Prometheus, ClickHouse, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE5+ MgmtLead the design and development of a state-of-the-art inference platform; 10+ years in distributed systems; ML serving; leadership experience.
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
5+ YOEAdvanced ML and software engineering experience building production-quality agentic systems, LLM deployment, evaluation frameworks, retrieval pipelines, and observability for large-scale EDA workflows.
Xcelium, Jasper, Palladium, Protium, Helium, EDA, Large language models (LLMs), Retrieval-augmented generation (RAG)
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years building ML systems and software platforms; expert Python and PyTorch; experience with ML pipelines, evaluation, developer tooling, and LLM/agentic systems; BS/MS in CS, Engineering, or equivalent experience.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experienced systems engineer to build and operate distributed ML platform infrastructure, GPU cluster scheduling, experiment tracking, and production developer tooling. Bachelor's required or equivalent; Master's/PhD preferred.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOESenior IC with 4-7 years experience; design, build, operate production-grade agentic platform; hybrid work model; Bachelor’s degree in CS/Engineering; Master’s preferred.
Franklin TempletonNYSE: BEN: Global investment firm providing asset and wealth management services.
5+ YOE5+ years software engineering experience including 2+ years deploying LLM/GenAI or agent-based systems; expert Python; experience with LangChain/OpenAI tool calling, vector DBs (Pinecone, FAISS), RAG, observability, and distributed services.
Edge ML Software Engineer (Model Optimization-PICO) - San Jose
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEMaster's degree or equivalent experience, 3+ years ML software engineering experience, strong deep learning knowledge, ML accelerator understanding, PyTorch/TensorFlow, Python and C/C++ proficiency.
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