"Machine Learning Infrastructure Engineer" Jobs in United States

Machine Learning Infrastructure Engineer

Whatnot · San Francisco

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or

Senior Machine Learning Infrastructure Engineer

Plus-2 · Santa Clara

Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale. Build and maintain efficient data pipelines, model versioning systems, and experiment tracking

Machine Learning Infrastructure Engineer

Character.AI · Redwood City

About the role We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities : Provide infrastructure s

Staff Machine Learning Infrastructure Engineer

Dyna Robotics · Redwood City

Company Overview: Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's

Machine Learning Infrastructure Engineer

Ifm-us · Sunnyvale

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI buil

Machine Learning Infrastructure Engineer

Abridge · San Francisco

About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficienci

Machine Learning Infrastructure Engineer

Zensors · San Francisco

About Zensors Responsibility Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server a

Machine Learning Infrastructure Engineer, GenAI Technology

Point72 ·

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefron

Founding Machine Learning Infrastructure Engineer

Model AI · Palo Alto

Founding Machine Learning Infrastructure Engineer Location: Onsite in Palo Alto Compensation: Competitive Salary + Equity About Model AI Model AI is building the infrastructure and application stack for the next gene

Machine Learning Infrastructure Engineer

WindBorne Systems · Redwood City

WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. We design, manufacture, and opera

Senior Machine Learning Infrastructure Engineer, Embedding Platform

Reddit ·

The LS Embedding Machine Learning Platform team is at the forefront of building highly expressive, machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architect

The base salary range for this position in the selected city is $177688 - $341734 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, c

The base salary range for this position in the selected city is $198360 - $416100 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, c

The base salary range for this position in the selected city is $187040 - $359720 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, c

The base salary range for this position in the selected city is $187040 - $438000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, c