Senior Staff Ml Engineer, Search & Recommendation

at Reddit

📍 United States

USD 266,000-372,400 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agentic AI @ 4 Go LLM @ 4 Leadership @ 6 Machine Learning PyTorch @ 7 Python @ 6 RAG @ 4 TensorFlow @ 7

Details

Reddit is building the next generation of search that goes beyond “10 blue links” to deliver real answers, perspectives, and conversation from the world’s largest corpus of human conversation.

The Search Recommendations & Relevance team is working on end-to-end search relevance at scale, including query understanding, retrieval, ranking, features, measurement, LLM-based answers, and RAG.

Responsibilities

Contribute to advancing Reddit’s Search and Recommendations products by designing AI-driven Search experiences that prioritize seamless and delightful user experience.
Deeply understand the Reddit search product and drive the vision for the search relevance team.
Enhance core search retrieval and ranking by designing and implementing new search engine features, building and scaling search indexes, and developing and testing new pipeline components.
Deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
Collaborate across disciplines (including ML, Product, Infrastructure, and DS teams) to find technical solutions to complex challenges.
Mentor and guide senior and staff engineers in the team.
Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap.

Requirements

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 improvement in search relevance.
Strong experience building and deploying large-scale ML models using frameworks such as 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 (Python, Golang).
Nice to have: experience building production agentic AI frameworks.

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave