47 model deployment engineer jobs at 39 companies in Napa, 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.
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.
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.
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.
Zeitview: Drone-based infrastructure inspection and visual data analytics.
4+ YOEBachelor's degree,~4+ years MLOps or ML platform experience, strong Python, experience with cloud (AWS), Terraform, CI/CD, Docker/Kubernetes, model deployment and monitoring, and working with ML researchers.
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.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
8+ YOE8+ years building production ML systems and infrastructure; experience with training/serving pipelines, feature pipelines, monitoring, deployment, cloud, containers, CI/CD, and model governance.
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.
Menlo Research: Building open-source humanoid robots and AI locomotion software.
5+ YOE5+ years as a software/security engineer; hands-on Linux and networking; IaC (Terraform/Helm/Ansible); Kubernetes; Python or Go; threat modeling and defining security for hybrid cloud and on-prem deployments.
Linux, Terraform, Helm, Ansible, Kubernetes, Python, Go
DocuSignNASDAQ: DOCU: Provides electronic signature and agreement management software solutions.
5+ YOE5+ years software engineering, distributed systems, backend architecture, ML model deployment, Python plus another typed language, Kubernetes, Kafka/Service Bus, large-scale systems, SLAs/SLOs
Python, Kubernetes, Kafka, Service Bus, Temporal, Ray, Spark, Azure, GCP, Model serving, infrastructure as code
5+ YOE5+ years software engineering experience, 3+ years applying ML/AI to production; experience with transformer/foundation models, full-stack engineering, ML evaluation/observability, and regulated-compliance deployments.
LLM orchestration, foundation models, transformer-based architectures
Chef Robotics: AI-powered robots automating meal assembly for food manufacturers.
5+ YOEMS/PhD or equivalent; 5+ years building and deploying ML for robotics; experience with large-scale pre-training/fine-tuning, PyTorch and Python; familiarity with policy/generative architectures and deployment to physical hardware.
PyTorch, Python, FSDP, DeepSpeed, MuJoCo, Isaac Sim, Genesis, ONNX, TensorRT
Austin or San Francisco or New York City or Arlington
$133k-$185k/yrHybridFull Time
BetterUp: Digital platform for professional coaching and employee mental fitness.
3+ YOE3+ years data engineering or applied AI experience; strong Python and SQL; experience with cloud warehouses (Snowflake/BigQuery/Redshift), dbt, data pipelines, model deployment, and GTM tools (Salesforce, HubSpot); Bachelor's degree or equivalent.
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOE2+ years software development; BS/MS in CS/Engineering/ML/Math/Physics; strong Python; experience with production systems and AI/ML model integration; familiarity with APIs, distributed systems, containers, CI/CD, edge deployment.
Python, APIs, Distributed Systems, Containers, CI/CD, Edge Deployment, Model Serving, Observability, Data Pipelines, Python Libraries