727 ml infrastructure engineer jobs at 347 companies in United States
🚀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.
Mach9: AI-powered software that automates feature extraction from geospatial data.
3+ YOE3+ years in ML infrastructure; BS/MS in CS/Engineering; strong Python and PyTorch; data versioning, pipelines, and model serving experience; good communication.
Spellbrush: Develops anime-themed video games using proprietary generative AI technology.
Experienced HPC/ML infrastructure engineer with Linux sysadmin skills, cluster bring-up and operations experience, familiarity with SLURM and parallel filesystems, networking and datacenter hardware handling.
Anthelion Capital: AI-powered investment firm specializing in private credit and data science.
3+ YOE3+ years in data engineering or ML infrastructure; Python and SQL; orchestration tools (Prefect/Airflow/Dagster); Docker/Kubernetes; cloud (Azure preferred); model serving; monitoring; strong documentation.
Sr. ML Infrastructure Engineer II, Personalization
San Mateo, California, United States
$170k-$220k/yrHybridFull Time
Slickdeals: Platform for crowdsourcing and ranking consumer shopping deals.
8+ YOE8+ years in ML; end-to-end recommender systems; deep learning for recsys; PyTorch/TensorFlow; vector databases; cloud infra; strong modeling and infra skills.
Maven Robotics: Developing autonomous general-purpose robots powered by artificial intelligence.
Significant experience building and operating production backend, distributed, or compute infrastructure; strong programming in Python, Go, Rust, or C++; experience with Kubernetes, Ray, ZenML, storage, observability, IaC, and GPU compute orchestration.
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.
Rebar: AI-powered operating system for construction trade contractors.
3+ YOEBachelor's degree or higher in CS/EE or related field; 3+ years backend infra; expert Python; 2+ years cloud (AWS); design APIs/SDKs; ML workflows.
Gritt Robotics: Developing autonomous robots to automate outdoor construction tasks.
4+ YOE4+ years deploying high-performance ML pipelines; proficient in Python; comfortable with C++/Go; PyTorch; cloud platforms (AWS, GCP, Azure); Docker/Kubernetes/Airflow; Parquet/HDF5/TFRecord; US work authorization.
Arlo: AI-powered health insurance platform providing level-funded plans for businesses.
5+ YOEExperience building scalable data pipelines; proficiency in Spark, Databricks, SQL, PySpark, Python; strong communication; ownership of end-to-end data systems; healthcare/insurance domain preferred.
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.
Vultr: Global cloud infrastructure and bare metal server hosting provider.
5+ YOE5+ years in bare metal infrastructure, GPU platforms, Linux, and automation with Python/Bash; hardware, BIOS/firmware, and driver experience; leadership experience.
Senior / Principal Infrastructure Engineer - ML Platform
San Mateo, California, United States
$279k-$345k/yrHybridFull Time
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
6+ YOE6+ years experience building scalable infrastructure; deep Kubernetes and Terraform experience; familiarity with AWS/GCP, Docker, CI/CD; bachelor's degree or equivalent practical experience.
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.