Research Engineer Ml Platform Jobs

The Role This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch

The Team Software Engineering at Pi builds the systems that scale research breakthroughs into reliable products in the physical world.

The team works closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments

As a Senior Staff Engineer, you will help build the reference architecture used internally by our engineering teams and delivered to customers

As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable,

You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize methods and models, contributing to cutting-edge inference research

engineers, and platform engineers Required Qualifications 4+ years of experience in machine learning research

You'll likely have: 4+ years of engineering experience, with a focus on applied ML/AI products Proven track record of shipping ML systems in

As our next Machine Learning Engineer you should have: 5+ years of industry experience building and deploying ML models to solve user problems at

As a Data Engineer, you will work cross-functionally with various teams and help build an enterprise-grade Data Platform.

We’re hiring research engineers across model training, ML infrastructure, full-stack product engineering, and customer deployment.

We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.

Research Engineer Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase.