42 model deployment engineer jobs at 35 companies in Vacaville, CA
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AI Deployment Strategist
San Francisco, California, United States
HybridFull Time
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.
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.
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.
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.
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.
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
Remedy Scientific: Provides automated systems for large-scale environmental soil remediation.
5+ YOE5+ years software engineering experience; strong backend systems, API and data model design; production experience with TypeScript or Python; cloud deployment (GCP/AWS); strong communication and technical judgment.
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
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
5+ YOE5+ years in software/ML engineering with on-device or performance-critical systems; production deployment of transformer/diffusion models on-device; experience with inference runtimes, quantization, operator fusion, and GPU/compute APIs; strong Python; communication and mentoring skills.