42 model deployment engineer jobs at 23 companies in Salinas, 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.
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.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
0+ YOEIntern to support optimization and deployment of multimodal models onto vehicle-grade compute; strong CS/EE/ robotics background; hands-on C++/Python; DL frameworks; model optimization and edge deployment.
John DeereNYSE: DE: Manufactures agricultural, construction, and forestry machinery and equipment.
3+ YOE3+ years software engineering with modern C++, applied ML for perception, experience with sensor data pipelines, model training/deployment, and system-level debugging.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
5+ YOEBachelor's in engineering/CS/data science; 5+ years (or 2+ with a Master's) in application engineering, algorithm development, or similar; experience in industrial/manufacturing environments; model lifecycle and production deployment; Python/R/C# and AI/ML familiarity.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
2+ YOEBachelor's in engineering/computer science/data science required; 5+ years relevant experience (or 2+ with a Master’s). Strong analytics, AI/ML familiarity, Python/R/C# programming, model lifecycle and production deployment experience.
E-Space: Builds sustainable LEO satellite networks for global IoT connectivity
Plan and execute vibration, shock, acoustic, and thermal-vacuum tests for large deployable antenna structures; instrumentation, data acquisition, test procedures, anomaly disposition, and model-test correlation.
Senior Machine Learning Engineer, Model Serving Infrastructure (Multiple Positions)
San Jose, California, United States
$265k-$388k/yrOnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOEMaster's (plus 2 years) or Bachelor's (plus 5 years) in a quantitative field; 2+ years coding in Python or C++; Linux development experience; ML, system design, and production deployment experience.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
5+ YOE5+ years with LLMs/VLMs and large-scale inference; MSc/PhD or equivalent; strong Python and ML framework skills; experience in benchmarking, optimization, and production deployment.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOE5+ years working with LLMs/VLMs and large-scale inference; experience in fine-tuning, benchmarking, evaluation, optimization, and production deployment; strong Python and PyTorch/JAX/TensorFlow skills; familiarity with inference stacks and infrastructure.
BetterHelp: Provides online therapy and professional mental health counseling services.
3+ YOE3+ years building ML systems; strong Python; experience with NLP, LLMs, PyTorch/TensorFlow, SQL; model evaluation, fine-tuning, inference optimization, and production deployment experience.
Los Gatos or Seattle or New York City or Los Angeles
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Expertise in Java, C++, Python, or Scala; experience building low-latency ML model deployment and inference infra, large-scale data processing (Spark), ad-tech modeling (yield, bidding, forecasting), and productionizing models.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
5+ YOE5+ years experience with ML frameworks; cloud platforms (AWS/Azure/GCP); Bachelor’s degree or equivalent in a technical field; strong ML model development and deployment skills.
Nex: Gaming system that turns body movement into interactive play.
3+ YOE3+ years building production ML systems or training infrastructure; proficiency in Python and one systems language (C++, C#, Java, Rust, or Go); experience with PyTorch or TensorFlow; building training pipelines, data workflows, and model deployment.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Expertise in model serving, deployment pipelines, distributed systems, and ML platform infrastructure to build and scale ML-powered features for content tagging, ranking, and personalization.
Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
San Jose, California, United States
$140k-$165k/yrOnsiteFull Time
SK hynix Memory Solutions AmericaKorea Exchange: 000660: Develops semiconductor controllers and firmware for enterprise data storage.
2+ YOE2+ years in AI/ML engineering with on-prem/private-cloud deployment, experience building agentic AI and RAG pipelines, model fine-tuning (LoRA/QLoRA), Python/Linux/Docker/Kubernetes proficiency, and familiarity with vector DBs and AI serving frameworks.
SBT Global: Provides integrated IT consulting and global logistics management services.
5+ YOE5–8 years full-stack development with AI model deployment, strong Python and FastAPI/Django, frontend frameworks (React/Next.js), cloud and container experience, and a relevant bachelor's degree.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOE3+ years relevant experience and a Bachelor's degree (or equivalent). Experience with TensorFlow, PyTorch, scikit-learn, Python, cloud platforms (AWS/Azure/GCP), ML model deployment, and large-scale data processing; PhD preferred for research in LLMs/agents.
TensorFlow, PyTorch, scikit-learn, Python, LangChain, Google ADK, AWS, Azure, GCP