Staff Machine Learning Systems Engineer

Reddit

Remote
Base: $230,000 - $322,000 usd; bonus/equity: eligi...
Remote
Ml infrastructure
Model training and deployments
Ml optimization
Reddit is seeking a Staff Machine Learning Systems Engineer to lead the development of a platform for large-scale machine learning models. The ideal candidate should have extensive experience in ML infrastructure, optimization, and cloud technologies, along with a strong focus on scalability and user advocacy

Job Summary

  • The Machine Learning Platform team owns the infrastructure powering recommendations, content discovery, and user/content quantification, directly impacting multiple Reddit teams.
  • You will lead development of a platform for large scale ML models at Reddit, designing end-to-end model lifecycle patterns (MLOps) to boost ML engineer velocity.
  • Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, and generous time off.

Matching Summary

Match Score: 85

Reddit is seeking a Staff Machine Learning Systems Engineer to lead the development of a platform for large-scale machine learning models. The ideal candidate should have extensive experience in ML infrastructure, optimization, and cloud technologies, along with a strong focus on scalability and user advocacy.

Salary

Base: $230,000 - $322,000 USD; Bonus/Equity: eligible to receive equity; Benefits: wide range of benefits offered

Skills & Requirements

Must-have

  • ML infrastructure
  • model training and deployments
  • ML optimization
  • cloud-based ML platform
  • MLOps tools administration
  • Python, PyTorch, Tensorflow
  • distributed training frameworks

Nice-to-have

  • advocate for platform users
  • intuition for ML development lifecycle
  • graph databases experience
  • graph neural networks experience

Key Requirements

  • 8+ years of experience in ML infrastructure
  • Hands-on experience with ML optimization
  • Deep experience with cloud-based technologies
  • Hands-on experience administering MLOps tools
  • Proficiency with ML programming languages and frameworks
  • Deep experience with distributed training frameworks
  • Strong focus on scalability, reliability, performance, and ease of use

Work Rights

Not specified

Tailored Resume

Cover Letter