104 mlops engineer jobs at 67 companies in Corralitos, CA
2d
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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
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
3d
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Senior MLOps Engineer
Santa Clara, California, United States
$184k-$357k/yr OnsiteFull Time
8+ YOEBachelor’s or equivalent experience in computer science, electrical engineering, or related field; 8+ years engineering experience; Python and C++; MLOps, data pipelines, cloud distributed systems, and technical leadership.
Python, C++, CI/CD
3d
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Senior MLOps Engineer
Santa Clara, California, United States
$184k-$357k/yr OnsiteFull Time
8+ YOERequires a bachelor's degree or equivalent, 8+ years designing production distributed systems, MLOps and cloud pipeline experience, Python and C++, and technical leadership delivering large-scale systems.
Python, C++, CI/CD
1mo
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Senior MLOps & AI Infrastructure Engineer
San Jose, California, United States
$149k-$216k/yr OnsiteFull Time
10+ YOEBachelor's degree, 10+ years ML engineering/MLOps experience, strong Python, cloud ML platforms (AWS/GCP/Azure), Docker/Kubernetes, CI/CD, ML frameworks (PyTorch/TensorFlow/JAX), experience with MLflow/W&B and HPC schedulers.
PyTorch, TensorFlow, JAX, Hugging Face, scikit-learn, XGBoost, MLflow, Kubeflow, Airflow, Weights & Biases, DVC, Feast, AWS SageMaker, GCP Vertex AI, Azure ML, Terraform, CloudFormation, Docker, Kubernetes, Slurm, LSF, Python, Bash, Go, SQL, Prometheus, Grafana, ELK Stack, Evidently AI, Arize
1mo
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DevOps, MLOps & Security Engineering Lead
San Jose, California, United States
$140k-$170k/yr HybridFull Time
Engineering leader with hands-on DevSecOps experience across AWS and GCP, CI/CD and IaC expertise, AI infrastructure (GPU/compute provisioning, model serving), cloud security, and scripting in Python/Bash/Go/Java.
AWS, GCP, SageMaker, Vertex AI, EKS, GKE, Python, Bash, Go, Java
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
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
4d
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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
3w
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Software Foundation Data & Compute Senior SQA Engineer
San Jose, California, United States
$140k-$210k/yr HybridFull Time
8+ YOEMaster's degree and minimum 8 years in software engineering or quality engineering; experience with data/compute platforms, MLOps, CI/CD, validation, technical leadership and mentoring; ability to work with cross-functional teams.
Linux, CI/CD, MLOps
6d
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Software Engineer Graduate (MLOps) - 2027 Start
San Jose, California, United States
$128k-$256k/yr OnsiteFull Time
Bachelor's or Master's in Computer Science or related; expertise in Linux, networking, storage; programming in Python, Go, C/C++ or Java; production troubleshooting and strong communication.
Linux, Python, Go, C, C++, Java
4d
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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
4w
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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
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
2w
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Consulting Engineer, AI Developer Productivity
San Jose, California, United States
OnsiteFull Time
15+ YOEMaster’s degree in computer science, engineering, or related technical field; 15+ years in software, platform engineering, or developer productivity; 3+ years at principal, staff, or architect level; programming and AI tooling expertise.
Python, Go, TypeScript, AI coding assistants, agentic workflow frameworks, AI-augmented IDEs, version control, issue tracking, code review, runtime observability, MLOps
3w
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Principal Engineer AI/ML
San Jose, California, United States
$206k-$379k/yr OnsiteFull Time
14+ YOE14+ years experience in AI/ML, deep expertise in NLP/CV/Generative AI, LLM fine-tuning, MLOps, distributed training, and mentoring senior engineers.
LoRA, QLoRA, RAG/GraphRAG, vector databases, PyTorch, TensorFlow/Keras, JAX, Hugging Face, CUDA, Python, AWS, GCP, Azure
4d
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Sr Software Engineer
San Jose, California, United States
$188k-$271k/yr HybridFull Time
5+ YOEBachelor's degree in computer science, computer engineering, electrical engineering, or related field, plus 5 years' experience. Requires Java, Python, Golang, GCP, Kubernetes, MLOps, and production ML infrastructure expertise.
Java, Python, Golang, GCP, Kubernetes, Prometheus, Datadog, Jupyter Notebook, Spark, MLFlow, ONNX, MySQL, MLOps, ML Model Serving, CRDs/controllers
4d
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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
4d
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Principal Software Engineer
Palo Alto, California, United States
$300k-$600k/yr OnsiteFull Time
Deep expertise in computer vision/deep learning or production systems, proven production engineering experience, strong architectural judgment, ability to write production code, debug cross-system failures, and communicate technical tradeoffs.
GPU systems, distributed systems, Kubernetes, AWS, MLOps
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