Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $266,000–$372,400 / yr
- Posted
- 144 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
How this pay compares to similar roles
This role pays more than 95% of similar roles. Most pay $212,270–$256,950 — the shaded band above. At the midpoint, this role pays about $319k versus about $235k 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 77 open roles on FindRole.
Listed pay typically runs $217,000–$303,400 across 77 roles with salary data.
Most-posted roles
- Software Engineer 19
- Data Scientist 8
- Machine Learning Engineer 5
- Frontend Engineer 4
- Machine Learning Systems Engineer 4
At a glance
TL;DR · Senior Staff ML Engineer, Search & Recommendation
As a Senior Staff ML Engineer, Search & Recommendation, you will join the Search Recommendations & Relevance team to build the next generation of search and AI-native experiences. You will design and build large-scale systems powering end-to-end search relevance, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, and RAG. Your daily work involves enhancing core retrieval and ranking, building and scaling search indexes, developing pipeline components, and deploying ML models while ensuring robust monitoring. You will utilize Python, Golang, PyTorch, or TensorFlow to solve complex technical challenges in lexical and semantic retrieval systems. The role focuses on transforming a massive corpus of human conversation into high-quality search results. Additionally, you will mentor other engineers, influence organizational technical direction, and collaborate across product, infrastructure, and data science teams to shape the long-term roadmap.
Skills
What you'll do
- Design and build large-scale systems that power end-to-end search relevance at scale.
- Develop and implement new search engine features including retrieval, ranking, and index scaling.
- Deploy machine learning models and integrate LLMs into the production search experience.
- Build and test pipeline components while ensuring robust monitoring and smooth product integration.
- Define the long-term technical roadmap and vision for the search relevance team.
- Mentor and guide senior and staff engineers within the organization.
- Influence org-wide technical direction in partnership with senior leadership.
What we're looking for
- 10+ years of industry experience with deep expertise in large-scale search and recommendation systems.
- Proven ability to identify key opportunities, define roadmaps, and drive scalable improvements in search relevance.
- Strong experience building and deploying large-scale ML models using PyTorch or TensorFlow.
- Experience working with LLMs in production, including evaluation, tuning, and deployment.
- In-depth knowledge and experience working with lexical and semantic retrieval systems.
- Proficiency in object-oriented programming using Python or Golang.
- Experience building production Agentic AI frameworks is preferred.
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