79 mlops engineer jobs at 54 companies in Cotati, CA
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Staff, MLOps Engineer
New York City or San Francisco or United States
$220k-$280k/yrRemoteFull Time
Sequen AI: AI-native ranking engine for enterprise search and recommendations.
4+ YOEMinimum 4+ years MLOps or ML/platform engineering; expertise with low-latency model serving, Python and PyTorch; cloud (AWS/GCP/Azure), Docker, Kubernetes, MLflow; strong distributed systems and pipeline experience.
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.
BatonNYSE: R: Builds AI software to automate and optimize supply chains.
Production Python, distributed-systems and MLOps experience; strong SQL; experience productionizing, monitoring, and retraining ML models; familiarity with cloud and containerized infrastructure.
Clera: AI talent agent matching professionals with high-growth startup roles
Experience training ML models for large-scale infrastructure, distributed-systems telemetry and anomaly detection, Python, an ML framework, MLOps, communication, and strong computer science fundamentals.
Databricks: A unified platform for data analytics and artificial intelligence.
6+ YOE6+ years in data engineering or software engineering, expertise with Apache Spark, cloud (AWS/Azure/GCP), coding in Python/Scala/JavaScript/TypeScript, CI/CD, MLOps, customer-facing delivery, and Databricks certification preferred.
Lumafield: Accessible industrial CT scanners and cloud-based analysis software
4+ YOE4+ years building applied computer vision/ML for image or volumetric data, production deployment (MLOps), customer-facing experience, ability to scope and deliver ML solutions, and willingness to travel ~30%.
Austin or New York City or San Francisco or Arlington or United States
$194k-$270k/yrHybridFull Time
BetterUp: Digital platform for professional coaching and employee mental fitness.
7+ YOE7+ years in data platform or infrastructure; strong Python skills; experience with CI/CD, IaC, Kubernetes, analytics stacks, MLOps, Airflow/Kafka; mentorship and systems design experience.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
4+ YOE4+ years in data infrastructure/MLOps or infrastructure engineering; proficiency in Python; experience with Kubernetes and distributed systems; knowledge of large-scale compute and storage platforms.
Saviynt: Provides AI-powered identity governance and cloud security platforms.
ML platform or MLOps engineer with production Ray experience; LLM serving, distributed training, Python and PyTorch; MLflow/Flyte; Bachelor's degree in CS/Engineering.
Ray Train, Ray Serve, Ray Core, Ray Data, vLLM, SGLang, NVIDIA Triton, TorchTrainer, DDP, NCCL, PPO, RLlib, Flyte, MLflow, Qdrant, Pgvector, PyTorch, Python
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning and computer vision expertise, strong software engineering and MLOps experience.
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.
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
8+ YOE8+ years in production ML or data platforms; graduate degree in CS/Engineering/Statistics or related field; strong Databricks/Spark/Delta Lake/MLflow; Python/SQL; cloud and IaC; MLOps.
Tamarind Bio: AI-powered platform for computational biology and drug discovery.
Strong engineering fundamentals (Python preferred); experience with AI/ML systems or data pipelines; adaptable in fast-moving environments; strong communication; onsite in San Francisco.
Boston or Chicago or Dallas or Los Angeles or Minneapolis or New York City or San Francisco or Seattle or Washington, D.C.
$225k-$304k/yrOnsiteFull Time
West Monroe: Business and technology consultancy specializing in digital transformation.
7+ YOE7+ years in software/data/ML/AI or architecture with hands-on AI engineering; strong Python plus TypeScript/Java/C# experience; experience with LLMs, RAG, agents, MLOps, and hyperscaler AI platforms; ability to work in US without sponsorship.
Writer: Platform for building and deploying enterprise generative AI agents.
5+ YOE5+ years of experience building and deploying ML/AI systems; proficient in Python and frameworks (PyTorch, TensorFlow, or JAX); strong ML/natural language processing background; experience with cloud (AWS, GCP, Azure) and MLOps; able to deliver scalable software; strong collaboration and problem-solving.
3+ YOEBS/MS or equivalent,3+ years in software/infrastructure/platform/MLOps,strong Python,cloud (AWS) and Kubernetes experience,Terraform/Pulumi,observability tools,distributed-systems knowledge,ability to deliver production software.
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.
Hayden AI: Mobile vision AI systems for automated traffic enforcement.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.