Machine Learning Platform Software Engineer

Quick Facts

• Role: Software Engineer, ML Platform

Description

As a Machine Learning Platform Software Engineer, you’ll build the infrastructure that turns real product usage into better models and helps keep research moving quickly on large GPU fleets. The ML Platform team creates platform primitives used daily by ML researchers and product engineers, with a strong emphasis on distributed systems and infrastructure reliability.

Responsibilities

• Design, build, and operate core platform systems used daily by ML researchers and product engineers

• Partner with research to turn recurring pain points into durable infrastructure

• Own reliability, performance, and developer experience for the systems in your scope

• Ship iteratively in a high-ownership environment by measuring impact and continuously raising the bar

Requirements

• Bachelor’s, Master’s, or PhD in computer science, machine learning, or another quantitative discipline; or equivalent work experience

• 5+ years of industry experience working with production distributed systems (infrastructure, ingestion, data pipelines, scheduling/orchestration, etc.)

Benefits

• Annual salary range: $140,000–$225,000 USD (level and base salary determined case-by-case)

• Equity

• Comprehensive medical, vision, and dental coverage

• Access to a 401(k) retirement plan

• Short- and long-term disability insurance

• Life insurance

• Various other discounts and perks