290 ml infrastructure engineer jobs at 73 companies in Tracy, 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.
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.
Nuro: Builds autonomous driving software and electric delivery robots.
3+ YOE3+ years in ML infrastructure/backend platform or distributed systems. Experience with Terraform/Pulumi/Crossplane, Kubernetes/Ray/Slurm/Volcano schedulers, Apache Spark/Beam, feature stores (Feast/Hopsworks/Redis), and systems design for HPC.
MaxInsights: Provides robot data collection for physical AI development.
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
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.
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Bachelor's degree in CS or related, strong foundation in ML systems or distributed systems, experience with Python, familiarity with ML frameworks and distributed tools, and ability to build scalable ML infrastructure.
Skydio: Develops autonomous AI drones for defense and industrial inspection.
Experience with data engineering, cloud ML platforms, ML Ops, large-scale data pipelines, model training/deployment, and security/compliance in ML infrastructure; strong collaboration.
Cloud platforms, Containerization, ML Ops, Databases, Data pipelines
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.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building scalable cloud infrastructure from concept to production; background in AI/ML or data analytics; strong OOP skills in Java or Go/Golang; experience with Kubernetes and distributed systems; Bachelor's or equivalent.
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
3+ YOE3+ years in ML infrastructure, MLOps, or distributed systems; strong Kubernetes; GPU orchestration; cloud/hybrid infra; ML frameworks; debugging ownership.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
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.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
8+ YOEBachelor's or equivalent, 8+ years in systems engineering/ML infrastructure, experience with distributed ML training/inference, PyTorch/JAX/TensorFlow, low-level C++/CUDA optimizations, and leading cross-functional ML systems projects.
Corvus Robotics: Fully autonomous drones for automated warehouse inventory management.
2+ YOE2-3 years building production ML infrastructure; experience with distributed data pipelines; understanding data flow from raw to trained models; ability to build from scratch or contribute to infra; thrive in ambiguous startup environment.
Kubeflow, SLURM, S3, data pipelines, distributed training
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
20+ YOEMS/PhD in CS/EE or equivalent experience, 20+ years industry experience, deep expertise in communication systems, RAN algorithms, AI/ML for RAN, and programming in Python, C/C++, Matlab.
CoupangNYSE: CPNG: Provides online retail, grocery delivery, and video streaming services.
5+ YOEBachelor's in CS/EE/math/stats, 5+ years applied ML experience, production ML systems experience, proficiency in Python/Java, experience with big data, ML frameworks, and cloud platforms.
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.
TikTok: Global short-form video hosting and social media platform.
3+ YOE3+ years building scalable ML systems, strong CS fundamentals, coding skills, experience with causal inference/uplift/deep learning, project management and communication skills.