Senior Machine Learning Systems Engineer, ML Platform

Reddit

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$216,700–$303,400 / yr
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $260k
$165k $318k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $202,412–$254,750 — the blue band above. At the midpoint, this role pays about $260k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 89 open roles on FindRole.

Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.

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View all roles at Reddit

At a glance

TL;DR · Senior Machine Learning Systems Engineer, ML Platform

The Senior Machine Learning Systems Engineer, ML Platform joins the ML Data Team to architect, implement, and maintain foundational infrastructure for Feeds Ranking, Content Understanding, Recommendations, and Ads. This role involves leading the design and operation of ML signal-governance capabilities, allowing machine learning engineers to discover signals and understand their lineage, quality, and usage. You will build tools for assessing signal importance and contribute to the broader ML Data Platform, including prediction logging and training data systems. The position requires developing batch and streaming pipelines that process petabyte-scale data. Key requirements include experience with distributed systems, data-intensive architectures, and production-quality systems featuring testing, monitoring, observability, and reliability practices. You will drive complex projects from technical planning through implementation and rollout to support core machine learning functions.

What you'll do

  • Architect, implement, and maintain foundational ML infrastructure for feeds, recommendations, and ads.
  • Design and operate ML signal-governance capabilities to track signal ownership, lineage, and quality.
  • Build tools to help teams assess signal importance and make lifecycle decisions.
  • Develop batch and streaming pipelines to process petabyte-scale data for prediction logging and training.
  • Define governance workflows and provide intuitive ways for teams to explore signal metadata.
  • Drive complex projects from technical planning and design through implementation and production rollout.

What we're looking for

  • 5+ years of experience in the ML Platform domain.
  • Experience with large-scale batch and streaming data processing.
  • Experience building production-quality systems with testing, monitoring, observability, and reliability practices.
  • Deep understanding of distributed systems and data-intensive architectures.
  • Strong customer focus and experience driving projects from requirements to production with cross-functional partners.
  • Strong communication and collaboration skills.

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