Staff Machine Learning Systems Engineer

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. com .

Who We Are

: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’Ll Do

: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. g. MLflow or Wandb) Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.

Deep experience working with distributed training frameworks, including Ray and Kubernetes Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.

Pay Transparency

: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

Benefits

-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state.

We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.