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Similar $225k

$170k most similar roles pay here $283k

This listing doesn't post a salary. Most similar roles pay $198,600–$251,750.

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 92 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 63 roles with salary data.

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At a glance

TL;DR · Reddit

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As a Staff Machine Learning Engineer on the Growth team within Developer Platform at Reddit, you will build and deploy advanced ranking and personalization systems to enhance user discovery of apps and games. Your daily tasks include designing models that power interactive experiences across Reddit’s surfaces, collaborating with cross-functional teams to define signals and APIs for model development, and implementing new retrieval and experimentation techniques. You’ll work with technologies like Go, Python, C++, Baseplate, GraphQL, Redis, Postgres, Kubernetes, Docker, AWS, and GCP to ensure high reliability and performance. This role demands expertise in large-scale machine learning systems, strong organizational skills, and the ability to mentor other engineers while driving technical discussions on ranking strategies for Dev Platform.

Skills

Python Go Kubernetes AWS GCP Docker Baseplate GraphQL Redis Postgres Memcached CI/CD

What you'll do

Design and implement next-generation ranking and personalization models for Reddit.
Define signals, APIs, and feedback loops to build, deploy, and iterate on ranking models.
Explore and productionize new retrieval and experimentation approaches for Dev Platform experiences.
Champion model quality practices including offline evaluation, A/B testing, and monitoring.
Mentor engineers and lead technical discussions on long-term ranking modeling strategy.

What we're looking for

8+ years experience building and deploying ML models in production.
Proven track record of owning end-user outcomes on cross-functional teams.
Strong domain knowledge in modern ranking and personalization techniques.
Experience designing performant, stable, efficient ML or ranking systems.
Comfortable with software engineering best practices including testing and documentation.
Entrepreneurial mindset with a bias toward action in fast-paced environments.

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