133 mlops engineer jobs at 88 companies in Kentfield, CA
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Sr MLOps Engineer
Sunnyvale, California, United States
$160k-$271k/yr OnsiteFull Time
3+ YOERequires 3+ years in infrastructure, DevOps, or MLOps; production Kubernetes; Python or Bash; infrastructure-as-code; distributed storage; CI/CD; Linux and networking. Bachelor's or master's in computer science, engineering, or related field.
Kubernetes, CNI, Metaflow, B200, L40S, A6000, V100, CUDA, Python, Bash, Ansible, Helm, Terraform, S3, MinIO, NetApp, GitLab CI, ArgoCD, Linux, MLflow, Kubeflow, NVIDIA drivers, NVLink, NUMA, MIG
1mo
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Staff, MLOps Engineer
New York City or San Francisco or United States
$220k-$280k/yr RemoteFull 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.
Python, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, MLflow, Rust, vLLM, Triton
3w
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Senior MLOps Engineer
Palo Alto, California, United States
OnsiteFull Time
5+ YOE5+ years MLOps or ML infrastructure experience, BS in CS or related, strong Python, Kubernetes, Docker, Terraform, GPU cluster and LLM serving experience, proficiency with orchestration and observability tools.
vLLM, TRT, SGLang, TGI, Kubernetes, Docker, Terraform, Python, Airflow, Kubeflow, Ray, MLflow, Weights & Biases, AWS, GCP, Azure, Spark, AWQ, GPTQ, FP8/GGUF
3w
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Senior MLOps Engineer I
San Francisco, California, United States
$170k-$180k/yr OnsiteFull Time
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.
Python, AWS, Terraform, Github Actions, Docker, Kubernetes, PostgreSQL, Hasura
2w
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Staff Engineer - ML Infra / MLOps
Palo Alto, California, United States
$218k-$285k/yr OnsiteFull Time
8+ YOE8+ years industry experience with 4+ years in ML infrastructure/MLOps. Experience designing production ML platforms, cloud-native infra (AWS), Kubernetes, IaC, distributed training, feature stores, and cost/compute optimization.
AWS, Kubernetes (EKS), Docker, Terraform, Pulumi, PyTorch, TensorFlow, Kubeflow, SageMaker, Spark, Flink, Kafka
1mo
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Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV
Sunnyvale, California, United States
$240k-$320k/yr HybridFull Time
10+ YOEMaster's or PhD in CS/Robotics/EE/AI, 10+ years in software/system engineering for autonomous driving or ADAS, experience releasing L2+ AI systems, knowledge of training pipelines, model optimization, and embedded deployment.
TensorFlow, PyTorch, Python, C++, MLOps, CICD, SIL, HIL
1w
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Software Engineer, MLOps - Machine Learning
San Francisco, California, United States
$162k-$216k/yr HybridFull Time
Production Python, distributed-systems and MLOps experience; strong SQL; experience productionizing, monitoring, and retraining ML models; familiarity with cloud and containerized infrastructure.
Python, SQL, Kubernetes, AWS, SageMaker, Kubeflow, Iceberg, Feast
2mo
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Matterport - Senior ML Ops Engineer
Sunnyvale, California, United States
$173k-$253k/yr HybridFull Time
3+ YOEBachelor's in CS/Data Science/Engineering or equivalent, 3+ years ML engineering experience with model optimization and deployment, Python, TensorFlow/PyTorch, cloud (AWS/Azure/GCP), Git, strong communication and problem-solving skills.
Python, TensorFlow, PyTorch, AWS, Azure, GCP, Git, Temporal, Airflow, Kubeflow, Docker, Kubernetes
1w
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Lead Software Platform Engineer, MLOps
San Mateo or United States
$200k-$270k/yr RemoteFull Time
10+ YOE10+ years building and operating distributed, cloud-native ML/AI infrastructure; leadership/architect experience; production LLM, RAG, model lifecycle, security, and observability expertise; TypeScript and Python proficiency.
TypeScript, Python, Databricks MLflow, AWS Bedrock, AWS, Docker, CloudFormation, AWS CDK, OpenAPI, REST, MCP
1mo
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Sr. Forward Deployed Engineer - Financial Services
San Francisco or California or United States
$181k-$248k/yr RemoteFull Time
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.
Python, Scala, JavaScript, TypeScript, Apache Spark, AWS, Azure, GCP, CI/CD, MLOps, Databricks, MLflow, Delta Lake
1mo
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Application Engineer, AI/ML
San Francisco or Cambridge
$120k-$140k/yr HybridFull Time
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%.
MLOps, MES, SPC, PLM, CT, AI/ML
1w
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Executive Director Machine Learning Engineer-MLOps
Palo Alto or New York
$223k-$325k/yr OnsiteFull Time
6+ YOEMS with 6+ years or BS with 10+ years experience; strong Python and AWS skills; experience with LLM serving, quantization, CUDA, distributed training, monitoring, and production ML systems.
Python, AWS, CUDA, Ray, vLLM, Kubernetes, ECS, Docker
3w
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Staff Data Platform Engineer
Austin or New York City or San Francisco or Arlington or United States
$194k-$270k/yr HybridFull Time
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.
Python, CI/CD, Infrastructure as Code, Kubernetes, Snowflake, dbt, Looker, MLOps, Airflow, Kafka
1mo
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Research Engineer, Data Infrastructure
Palo Alto or San Francisco
HybridFull Time
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.
Python, Kubernetes, SLURM
1w
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Senior Machine Learning Engineer
San Francisco or Los Angeles or New York City
$70-$75/hr HybridContract
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
Python, SQL, Databricks, Apache Spark, MLflow, Feature Store, Model Registry, Azure, AWS, GCP, Docker, Kubernetes, REST APIs, Git, CI/CD
3mo
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Machine Learning Engineer – World Model
Sunnyvale, California, United States
$150k-$450k/yr OnsiteFull Time
3+ YOE3+ years in ML infrastructure/MLOps or related backend/platform engineering; strong cloud skills; experience with scalable ML systems.
AWS, Docker, Python, Git, Kubernetes, Ray, Kafka, Spark, Gradio, OpenWebUI
2mo
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AI Platform Engineer, Training and Inference
San Francisco, California, United States
HybridFull Time
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
2w
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Senior AI Research Engineer
San Francisco or Atlanta
$250k-$300k/yr HybridFull Time
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.
PyTorch, Python, NumPy, SciPy, scikit-learn, Open3D, trimesh, AWS SageMaker, Vertex AI, Azure ML, Weights & Biases, MLflow, Docker, Kubernetes, Revit, Rhino/Grasshopper, YOLO, SAM, NeRF, PyTorch Geometric, DGL, Mujoco, Isaac Sim, PointNet++, DGCNN
1w
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Sr AI Engineer I
Palo Alto, California, United States
$123k-$215k/yr HybridFull Time
5+ YOE5+ years software engineering or solution architecture; strong Python, REST APIs, containers, CI/CD, distributed systems; cloud experience (AWS/Azure/Google Cloud); bachelor’s in CS/Engineering required; strong customer-facing skills; U.S. work authorization required.
Python, REST APIs, containers, CI/CD, AWS, Azure, Google Cloud, OpenAI, Azure OpenAI, Anthropic, Gemini, LangChain, LangGraph, Llama Index, MLOps, RAG, vector databases, MCP
1d
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Founding Forward Deployed AI Engineer
Seattle or Bellevue or United States or San Francisco Bay Area
HybridFull Time
Stealth AI Startup: Building infrastructure to deploy and manage enterprise AI applications.
5+ YOE5+ years engineering experience, AI/ML infrastructure or MLOps expertise, cloud-native systems knowledge, Python and a systems or backend language, debugging ability, and strong customer-facing communication.
Python, Kubernetes
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