218 ai ml infrastructure engineer jobs at 88 companies in Berkeley, 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.
5+ YOE5+ years in DevOps/platform/infrastructure engineering; deep Kubernetes experience; experience building developer-facing platforms, Helm and GitOps workflows, storage/networking for GPU workloads; Terraform, monitoring, and ML framework exposure preferred.
San Francisco or Minneapolis or Washington, D.C. or United States
$120k-$215k/yrRemoteFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
4+ YOE2+ MgmtBachelor's degree or 4+ years equivalent, 4+ years Python, 4+ years cloud infrastructure (AWS/Azure/GCP), 4+ years AI/ML infrastructure experience, 2+ years team lead, 1+ year LLM experience.
Python, AWS, Azure, GCP, Large Language Models (LLMs), GitHub, GitHub Actions, Docker, Terraform, CI/CD
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
10+ YOE10+ years software engineering; 5+ years ML platforms/infrastructure; distributed systems; Python/Go/Java; Docker/Kubernetes; MLOps tools; cloud experience; knowledge of ML models.
Artificial Analysis: Independent AI benchmarking and performance analysis platform.
3+ YOE3+ years software engineering experience; strong Python, pandas and OpenAI API proficiency; experience with data-intensive backend systems, data visualization, cloud infrastructure, and leading projects end-to-end.
Docker: Provides a platform for building, sharing, and running containerized applications.
5+ YOE5+ years applied ML/AI experience, 4+ years software engineering, experience with LLM-based systems, model lifecycle and ML infrastructure, bachelor's in CS/Engineering or equivalent, strong communication and mentoring skills.
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Santa Clara, California, United States
$200k-$380k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOEAdvanced degree or equivalent experience in engineering with 6+–12+ yrs experience in AI infrastructure, applied ML/GenAI; experience with agents, SQL/ETL/data modeling, cloud (AWS/Azure/GCP), Python and C++; strong communication.
8+ YOEBachelor's in CS or equivalent, 8+ years software development, 5+ years building large-scale infrastructure, 3+ years software design, experience with ML infrastructure; leadership and deep learning framework experience preferred.
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Santa Clara, California, United States
$200k-$380k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
6+ YOEBSEE/MSEE/PhD with 12+/10+/6+ years experience in AI infrastructure, applied ML and Gen AI. Experience with SQL, ETL, data modeling, cloud (AWS/Azure/GCP), Python, C++, distributed systems, and mentoring.
Senior AI Infrastructure Engineer - Model Training
Mountain View, California, United States
$190k-$260k/yrOnsiteFull Time
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
2+ YOEDegree in CS or related field,2+ years ML systems experience,expertise in distributed training,high-performance data pipelines,GPU performance and profiling,Python and PyTorch skills.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years in high-scale infrastructure or ML systems; BS in Computer Science or related field; strong Python and PyTorch; Kubernetes; cloud experience; GPU/ML infra focus.
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.
SpreeAI: AI-powered virtual try-on and sizing software for fashion retailers.
10+ YOE10+ years software engineering/infrastructure; 5+ years ML infrastructure, MLOps, or AI platform engineering; strong Python, PyTorch, Kubernetes, Docker; distributed systems expertise; experience with ML workflow orchestration and production inference systems.
Phenix Space: Builds robotic systems for on-orbit satellite assembly and upgrades.
5+ YOE5+ years building or operating ML infrastructure; deep GPU and distributed training knowledge; experience with PyTorch/DeepSpeed/Megatron/Ray, inference stacks (vLLM, TGI, Triton), Python and C++/Rust/Go, Kubernetes and IaC, and observability tooling.
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
Senior infrastructure/DevOps engineer with expertise in bare-metal provisioning, GPU scheduling, Terraform/Pulumi, CI/CD for infrastructure, storage for AI/ML workloads, and cloud-init provisioning.
Clera: AI talent agent matching professionals with high-growth startup roles
0+ YOEEligible to work in the US without sponsorship. 0–4 years building production AI/ML systems; experience with collaborative filtering, graph embeddings, reinforcement learning, multi-channel agent design, and scalable AI infrastructure.