115 model deployment engineer jobs at 82 companies in Menlo Park, CA
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ML Engineer - Inference & Model Deployment
Cupertino, California, United States
$250k-$310k/yrOnsiteFull Time
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.
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or computer science degree, 2+ years in technical client-facing/implementation roles, experience in data modeling and AI/ML, proficiency with formulas and structured modeling, programming (Python/SQL), and APIs/data pipelines.
Applied Research Scientist / Engineer - Deployment
Palo Alto, California, United States
OnsiteFull Time
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
Strong ML research and engineering skills with hands-on experience fine-tuning or adapting large models; translate customer requirements into model adaptations; customer-facing applied research or solutions engineering experience; staff-level/ senior execution expectations.
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.
OpenAI: Develops artificial intelligence models and generative AI software services.
Proven experience leading engineering teams, shipping production systems at scale, and owning model deployment, experimentation, and measurement tooling; strong communication and cross-functional collaboration skills.
Black Forest Labs: Developing frontier generative AI models for visual intelligence.
Proven robotics/forward-deployed engineering experience, customer-facing integration skills, experience with action/VLA models, model deployment and latency optimization, strong communication and collaboration.
Black Forest Labs: Develops generative AI models for image and video creation.
Proven robotics engineering experience; hands-on with action/VLA models (π0/π0.5, LeRobot); customer-facing deployments, model hosting, inference/edge constraints, and strong communication skills.
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.
Paradigm: Venture capital firm focused on crypto and frontier technologies.
Experienced engineer with infra, security, and AI model experience; familiarity with durable control planes, runtimes, secrets, observability, and self-hosted deployment.
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.
Verse: Software to plan, procure, and manage clean energy portfolios.
5+ YOE5+ years building production optimization models, strong Python software engineering, deployment of scalable optimization services, energy industry experience (electricity markets, battery storage), Master's degree in quantitative field.
P-1 AI: Developing AI agents for industrial engineering and physical design.
Experience shipping data-driven or AI systems to production (Python preferred); physical engineering background; building integrations, fine-tuning models, customer-facing deployment and troubleshooting experience.
Pika: AI-powered platform for generating and editing professional videos
5+ YOE5+ years engineering experience in inference acceleration, GPU programming (CUDA, NCCL), model deployment, quantization, attention optimization, and parallelism for production-scale AI systems.
Sonatus: Develops software platforms for AI-enabled software-defined vehicles.
10+ YOE10+ years ML engineering with 3+ years in Edge AI/embedded systems, Bachelor’s in CS/EE/Software Engineering, expert Python, C++14/17, PyTorch/TensorFlow, edge deployment and model optimization experience.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
Vantaca: AI software for community association and HOA management.
8+ YOE8+ years in infrastructure/DevOps/SRE; strong cloud expertise; experience with CI/CD, PostgreSQL, Redis, APM, model serving, vector databases, GPU optimization, and LLM deployment.
PostgreSQL, Redis, APM, CI/CD, vector databases, model serving frameworks, LLM