Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $253,300–$354,600 / yr
- Posted
- 3 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 95% of similar roles. Most pay $197,981–$251,750 — the shaded band above. At the midpoint, this role pays about $304k versus about $225k 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 94 open roles on FindRole.
Listed pay typically runs $217,000–$303,900 across 65 roles with salary data.
Most-posted roles
- Reddit 27
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- Staff Android Engineer (Clients Platform) 4
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- Ads Conversion Modeling, Machine Learning Engineering Manager 1
At a glance
TL;DR · Staff Machine Learning Systems Engineer, Embeddings Platform
As a Staff Machine Learning Systems Engineer on Reddit’s Embedding Platform team, you will lead the technical direction for large-scale machine learning models, focusing on advanced deep learning architectures and scalable model designs. You will collaborate with leadership to define ML roadmaps, drive innovation in distributed training systems, and ensure efficient deployment of models in production. Key responsibilities include architecting high-performance systems, integrating ML models into Reddit’s AI-driven platforms, mentoring engineers, and staying at the forefront of AI research. The role requires expertise in Python, C++, deep learning frameworks, and cloud-based ML pipelines, with a focus on recommendation systems and personalization technologies.
What you'll do
- Architect and lead the development of next-generation, large-scale machine learning techniques.
- Define and execute ML strategy to enhance personalization and recommendation quality across Reddit.
- Lead research on scalable ML systems and real-time model adaptation for production deployment.
- Partner with teams to integrate ML models into key AI-driven systems at Reddit.
- Establish and optimize real-time serving architectures for large-scale embeddings.
What we're looking for
- 8+ years of experience in machine learning engineering with a focus on large-scale ML systems.
- Expertise in modern deep learning architectures, including sequence models and foundational models.
- Proven ability to design, implement, and optimize scalable ML architectures for distributed training and real-time inference.
- Strong software engineering skills in Python or C++ with experience in high-performance computing and cloud-based pipelines.
- Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.
- Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
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