63 model deployment engineer jobs at 51 companies in Vallejo, 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.
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.
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: 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.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
5+ YOE5+ years ML or software engineering experience, expertise in distributed systems, ML lifecycle, LLMs and RAG, production model deployment, Python and PyTorch experience.
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.
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
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
Bachelor's in CS/CE or equivalent experience; experience shipping ML models to production; background in computer vision/ML with focus on gesture recognition/pose estimation; model optimization for on-device deployment; cross-functional collaboration.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
4+ YOE4+ years industry experience, strong production Python, statistics and ML fundamentals, experience with adtech/CTV/RTB preferred, familiarity with LLMs and model deployment/monitoring, Bachelor's in CS/Math/Engineering or equivalent.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML/robotics experience; proficiency in Python and C++; ROS/ROS2 experience; sensor fusion and simulation experience; bachelor's degree or equivalent; proven production deployment of learning-based models.
Python, C++, ROS, ROS2, Gazebo, Isaac Sim, CARLA, MuJoCo, PyBullet
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Atoms: Building robotics and software to automate physical world industries.
10+ YOE10+ years MLE experience, expertise with transformers and multimodal systems, sensor fusion (camera/LiDAR/radar), PyTorch or JAX, Python and C++, and model optimization for edge deployment.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEExpertise in Python, AWS ML, ML fundamentals, model deployment/MLOps, SQL, and working with structured/unstructured data; 8+ years experience preferred; bachelor's in computer science.
Fireworks AI: Provide high-speed inference and infrastructure for generative AI models.
5+ YOE5+ years in customer-facing technical roles building production software; strong Python and Kubernetes skills; experience with LLM inference, model serving, fine-tuning workflows, GPU/cloud deployments, and excellent communication.
Fireworks AI: High-performance inference platform for deploying generative AI models.
5+ YOE5+ years in hands-on, customer-facing technical roles; strong Python and Kubernetes skills; working knowledge of LLM stack, model fine-tuning, and cloud GPU deployments (AWS/Azure/GCP); experience shipping production software with customers.
Python, Kubernetes, vLLM, SGLang, TensorRT-LLM, AWS, Azure, GCP, Microsoft Azure Foundry, Azure AI Foundry, AWS Bedrock, SageMaker, GCP Vertex
Allocate: A that provides a data-rich platform for discovering, modeling, and managing private market investments.
4+ YOE4+ years applied ML/LLM engineering with strong Python, production model deployment, model fine-tuning and evaluation, Git proficiency, and experience with AI-assisted development tools.
Physical AI Engineer – Simulation & Synthetic Data
Fremont or United States
HybridFull Time
TD SYNNEXNYSE: SNX: Distributes information technology products and provides supply chain services.
5+ YOE5+ years in robotics/RL/simulation/applied ML; hands‑on RL/imitation learning, simulation agent training, NVIDIA Omniverse/Isaac Sim/USD experience preferred; foundation model integration; strong Python and deployment experience.
NVIDIA Omniverse, Isaac Sim, USD, GPT, Claude, Opus, Python