Senior Staff ML Engineer, Search & Recommendation

🕒 April 20

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing 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, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. • Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit 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 in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow. • Experience working with LLM 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