9 ml platform engineer jobs at 9 companies in Ripon, 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.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
5+ YOEDegree in CS/CE or related, 5+ years systems/DevOps/ML infrastructure experience, hands-on AI/GPU cluster and Linux/Kubernetes expertise, Python/Bash scripting, and knowledge of storage, networking, and security.
Software Engineer (Python / C++) — ML Platform & Production Integration
Fremont, California, United States
$120k-$150k/yrHybridFull Time
Velo3DNASDAQ: VELO: Manufacturer of advanced metal 3D printers and software.
3+ YOEBachelor's in CS or related, 3+ years software development, strong Python and C++ proficiency, experience with automated testing and version control, ability to port ML prototypes to production and integrate into software stacks.
Vagaro: Cloud-based management platform for beauty and wellness businesses.
2+ YOE2+ years building LLM/LLM-based or generative AI applications; proficiency in Python and SQL; experience with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, ML model deployment, and collaboration with product teams.
Warsaw or Madrid or Poznan or Santa Clara or Pleasanton
zł364k-zł676k/yrOnsiteFull Time
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
10+ YOE5+ Mgmt10+ years software/platform engineering experience with 5+ years leading cross-functional technical teams; 5+ years in regulated life sciences with knowledge of GxP, 21 CFR Part 11 and GAMP 5; 3+ years production AI/ML platform experience; hands-on laboratory informatics and cloud architecture expertise.
Senior Technical Program Manager, Productivity Engineering (Data Platform · AI Transformation)
Pleasanton, California, United States
$164k-$222k/yrOnsiteFull Time
10x GenomicsNASDAQ: TXG: Develops platforms for high-resolution single-cell and spatial biological analysis.
5+ YOE5+ years TPM experience leading complex, multi‑stakeholder data/platform programs; hands-on delivery across pipelines, warehousing, ELT and real‑time flows; startup or early‑stage experience; strong communication; familiarity with AI/ML program delivery.
Blackhawk Network: Provider of branded payment solutions and gift cards.
8+ YOE8+ years data/systems engineering experience (3-5 years with ML/AI platforms), related bachelor's degree, proficiency with Glean, Claude, Co-pilot Enterprise, strong system design, NLP and production AI deployment experience.
System Architect - AI and Rack-Scale Systems Architect
Oregon or Fremont
$179k-$225k/yrOnsiteFull Time
Hyve SolutionsNYSE: SNX: Designs and manufactures custom hardware for hyperscale data centers.
10+ YOEBachelor's degree in CS/EE, 10+ years system architecture experience focused on AI/HPC, rack-scale design, AI/ML frameworks, GPU/accelerator integration, interconnects, virtualization/containerization, and cloud platforms.
Ridgeline: Cloud-native platform for investment management operations.
10+ YOE10+ years in product management; 7+ years owning platform, API, or developer products; experience defining and shipping integration platforms and developer ecosystems; strong commercial instincts; ability to align multiple engineering teams and stakeholders; familiarity with AI/ML product patterns; knowledge of financial services a plus.
API platform, Data contracts, Integrator framework, AI interoperability