Reddit

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
12 days ago

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Salary context

How this pay compares to similar roles

Similar $210k
$161k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $174,612–$246,150.

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 94 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 65 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 Reddit’s Machine Learning Platform team, you will lead the development of a large-scale ML Inference Platform, designing and implementing highly available GPU-based model serving systems for search, ranking, and LLMs supporting millions of queries per second. You’ll develop feature hydration and processing systems, create a unified GPU model export framework, and build an E2E inference performance benchmarking tool. The role requires deep experience with Kubernetes, cloud technologies like AWS and Google Cloud Storage, and proficiency in Python alongside modern AI/ML frameworks such as Triton, Dynamo, vLLM, and PyTorch. You will work on complex multi-cluster compute environments and ensure real-time ML observability for model performance tracking.

Skills

Kubernetes AWS Terraform Python Go Docker CI/CD Prometheus Grafana PostgreSQL Trino LLMs Triton Dynamo vLLM Pytorch

What you'll do

  • Lead the design and implementation of a highly available, low-latency GPU-based model serving system.
  • Develop ML and Generative AI systems in cloud environments on Kubernetes at scale.
  • Create prototypes for high-performance feature hydration and processing systems.
  • Design and implement a unified GPU model export framework for optimized inference models.
  • Build an end-to-end inference performance benchmarking framework.

What we're looking for

  • 7+ years of experience in ML Engineering or related roles.
  • Deep expertise in Kubernetes and cloud-based technologies for AI platforms.
  • Strong proficiency in Python and modern AI/ML frameworks like PyTorch, Triton.
  • Experience designing and implementing large-scale GPU-based model serving systems.
  • Knowledge of real-time ML observability and performance benchmarking.

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