70 mlops engineer jobs at 34 companies in Marina, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
5+ YOE5+ years experience in MLOps or related engineering; familiarity with ML infrastructure, GPU workloads, microservices/databases; U.S. citizenship and ability to obtain security clearance; strong communication and critical thinking.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
8+ YOE8+ years software engineering; BS in CS/ENG/Statistics/Data Mining/ML; production ML systems; distributed systems; cloud platforms; Kubernetes; MLOps tooling; Python; ML frameworks; CI/CD for ML; data pipelines.
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.
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
Developer Relations Manager, AI Platform and Tools - MLOps
Santa Clara or United States or North America
$152k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOE5+ years in tech (3+ years in AI), deep MLOps domain knowledge, ability to lead complex technical engagements and integrations, strong communication and stakeholder management, BS/MS in CS/Engineering or equivalent.
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.
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.
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.
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
MS or equivalent preferred; extensive experience designing and operating large-scale cloud-native ML platforms, Kubernetes-based infrastructure, MLOps, model governance, observability, and platform automation.
McAfee: Provides cybersecurity and privacy protection software for consumers.
10+ YOE10+ years platform engineering experience with GenAI/LLM ecosystems, Kubernetes (EKS/GKE), cloud (AWS/GCP), Python and Go, Terraform, Backstage, CI/CD, vector stores/OpenSearch, Kafka, and enterprise AI security and governance.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years building large-scale distributed or ML systems; strong APIs and cloud infrastructure experience; expertise in ML lifecycle and MLOps; coding in Python or C++; BS/MS/PhD in CS/Math or equivalent experience.
Member of Technical Staff - 4 ( Devops - AI/ MLOPS)
Bangalore or San Jose or Durham or Mexico City or Pune or Hoofddorp or Belgrade or Barcelona or Singapore or Sydney or Tokyo
HybridFull Time
NutanixNASDAQ: NTNX: Sells cloud software and hyperconverged infrastructure for enterprises.
4+ YOE4–12+ years in DevOps/DevSecOps/Platform Engineering; proven ability to design and operate secure CI/CD platforms at scale; strong cloud, Kubernetes security, IaC, and MLOps experience; bachelor’s degree in CS/Engineering.
Forward Deployed Engineer Lead (mid-career, level 4)
Fort Worth or King of Prussia or Littleton or Sunnyvale
$133k-$234k/yrRemoteFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
5+ YOE5+ years in software/platform/MLOps or GenAI systems; hands-on Kubernetes and GPU-backed deployment experience; strong customer communication; U.S. citizenship and ability to obtain Top Secret clearance required.
AI Factory, Kubernetes, Amazon SageMaker, Databricks Mosaic AI, Google Cloud Vertex AI, Gemini Enterprise Agent Platform, Microsoft Foundry, Domino Data Lab, Dataiku, IBM watsonx, DataRobot, Python, Go, Rust
McAfee: Provides consumer cybersecurity, identity protection, and online privacy software.
Expert Python and ML engineering with PyTorch/TensorFlow, experience with LLM orchestration, MLOps, SQL/Databricks, cloud AI services, MarTech integrations, and Responsible AI practices.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOEMaster's in CS/control engineering plus 3 years (or Bachelor's plus 5 years). Experience with LLM fine-tuning, prompt engineering, agent frameworks, production ML/MLOps, distributed training, cloud GPU infrastructure, and Python.
PyTorch, DeepSpeed, Accelerate, FSDP, CrewAI, AutoGen, LangGraph, ReAct, vLLM, Ray Serve, Triton, Cosmos, Docker, Python, A100, H100, Electronic Medical Records (EMR)
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
5+ YOE5+ years AI/ML experience, 1+ year building agentic AI, strong Python, LangGraph/LangChain and LLM experience, prompt engineering, cloud AI platforms, APIs, CI/CD, enterprise deployment and leadership skills.
Python, LangGraph, LangChain, LLMs, GPT, Claude, Llama, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, APIs, CI/CD, Claude Code, Codex, Databricks, MLOps, LLMOps
Senior ML platform engineer with MLOps, distributed systems, and cloud experience; strong Python; knowledge of Kubernetes/Docker; ML frameworks; inference optimization; familiarity with LLM tooling.