148 mlops engineer jobs at 101 companies in Sunnyvale, 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.
Nace AI: An enterprise AI product and research building long-running AI agents and specialized models for enterprise deployments.
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.
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.
Altera: Manufacturer of field-programmable gate arrays and programmable logic devices.
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.
KlearNow.AI: AI platform for digital customs brokerage and logistics management.
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.
Quince: Sells high-quality apparel and home goods at accessible prices.
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.
Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV
Sunnyvale, California, United States
$240k-$320k/yrHybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
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
CoStar GroupNASDAQ: CSGP: Provides global real estate information, analytics, and online marketplaces.
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.
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.
Software Foundation Data & Compute Senior SQA Engineer
San Jose, California, United States
$140k-$210k/yrHybridFull Time
ASMLNASDAQ: ASML: Manufactures lithography systems used to print patterns on wafers.
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.
Coupa: Cloud-based platform for managing and optimizing business expenditures.
10+ YOE3+ Mgmt10+ years platform engineering experience with 3+ years technical leadership; deep cloud (AWS/GCP) and multi-cloud architecture expertise; strong automation, IaC (Terraform), CI/CD and MLOps experience; programming in Python/Go/Java.
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.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
14+ YOE14+ years experience in AI/ML, deep expertise in NLP/CV/Generative AI, LLM fine-tuning, MLOps, distributed training, and mentoring senior engineers.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOE7+ years software engineering experience; strong Python and PyTorch/TensorFlow; experience with vector storage, agentic AI and LLM deployment, MLOps and CI/CD, cloud (AWS or Azure); leadership and responsible AI practices.