168 ml platform engineer jobs at 50 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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experienced systems engineer to build and operate distributed ML platform infrastructure, GPU cluster scheduling, experiment tracking, and production developer tooling. Bachelor's required or equivalent; Master's/PhD preferred.
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.
Senior Director Developer Platform and Experiences
United States or Santa Clara or San Francisco or Los Angeles or Austin or Washington or New York City or Kirkland or Seattle or California or Hawaii or Illinois or Massachusetts or New Hampshire or Oregon or Virginia or Washington or Alaska or Mississippi or North Dakota or Virgin Islands, U.S.
$183k-$396k/yrRemoteFull Time
GoDaddyNYSE: GDDY: Provides domain registration, web hosting, and website building tools.
10+ YOE10+ Mgmt10+ years leading large-scale engineering and platform teams; deep technical expertise in developer platforms, cloud-native systems, SDLC and CI/CD; experience with AI/ML and developer tooling; hands-on coding and transformation experience.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building and operating production platform/backend infrastructure; 5+ years ML infrastructure; strong Python and a compiled language; experience with job queues, sandboxed execution, and production reliability.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE5+ MgmtLead the design and development of a state-of-the-art inference platform; 10+ years in distributed systems; ML serving; leadership experience.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years designing and operating production platform/backend infrastructure,5+ years ML infrastructure,BS/MS/PhD or equivalent in CS/EE/CE,strong Python and compiled-language skills,experience with Kubernetes Jobs and job queues.
KnightscopeNASDAQ: KSCP: Manufactures autonomous robots and communication devices for physical security.
5+ YOE5+ years production ML/CV experience; expertise with NVIDIA DeepStream, YOLO-family models, Jetson platforms, TensorRT, Python and C++; MLflow/Kubeflow for MLOps; BS/MS in CS/EE or equivalent experience.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
10+ YOE10+ years building large-scale distributed systems or ML infrastructure, 3+ years at staff/principal level, experience with Spark, Ray, Kubernetes, Airflow, MLflow, web frameworks, reliability engineering, and mentoring engineers.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOESenior IC with 4-7 years experience; design, build, operate production-grade agentic platform; hybrid work model; Bachelor’s degree in CS/Engineering; Master’s preferred.
Sunnyvale or Washington or Austin or Mountain View or Warren
$171k-$261k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
3+ YOE3+ years building and operating production cloud systems; experience with scalable services, Go or Python, Unix/Linux, networking, and mentoring; BS in CS or equivalent.
Frisco or San Jose or Newport Beach or New York or Toronto or Waterloo
$172k-$283k/yrHybridFull Time
McAfee: Provides consumer cybersecurity, identity protection, and online privacy software.
10+ YOE10+ years software development experience with technical leadership; expertise in cloud-native architecture, agentic AI/ML, full-stack development, distributed systems, Kubernetes, and modern cloud platforms.
Wayve: Develops AI software for autonomous vehicle navigation.
10+ YOE10+ years building large-scale distributed systems or ML infrastructure, 3+ years at staff/principal level, experience with Spark, Ray, Kubernetes, Airflow, MLflow, reliability/observability, mentoring, and optimization or scheduling systems.
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.
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years software engineering experience; degree in CS/AI/Engineering or equivalent; deep distributed systems and AI/ML platform experience; strong Python, Kubernetes, Docker skills; experience with LLMs, orchestration frameworks, SLIs/SLOs, and operational readiness.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
6+ YOE6+ years in data platform engineering; strong Spark/Databricks; real-time streaming; Python/SQL; cloud (AWS/Azure); CI/CD; experience with agentic AI and ML feature stores.
Kai Cyber: Agentic AI platform for autonomous enterprise cybersecurity operations.
6+ YOE6+ years in cloud/security engineering; expert Azure security knowledge; Kubernetes security; IaC security; scripting; experience with AI/ML data security.
San Francisco or McLean or Cambridge or San Jose or New York City
$294k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's or Master's in CS/Engineering/AI with 6–8+ years building and deploying scalable AI/ML systems; strong programming in Python/Go/Scala/Java and experience with agentic frameworks, cloud platforms, and LLMs.