Skip to content
RedditRedditUnited States

Senior Staff Machine Learning Engineer, Feed Relevance

Leads the technical direction and development of large-scale, GenAI-powered recommendation and feed-ranking systems. Requires 10+ years of industry experience in relevance-driven products, deep expertise in machine learning and recommendations, and strong organizational influence and mentoring skills.

266k – 372k/yr
Remote10+ YOEML Engineering

About the role

Responsibilities

  • Deliver technical initiatives with significant company-wide impact.
  • Set technical direction for the broader Relevance and Feeds teams, identifying opportunities and influencing strategy across multiple organizations.
  • Partner with management on goal setting, planning, and de-risking critical projects.
  • Mentor and grow Senior and Staff engineers.
  • Create a strong, healthy engineering culture.

Requirements

  • 10+ years of industry experience building systems for relevance-driven products.
  • Subject matter expertise in relevance, recommendation, and machine learning systems, with the ability to solve complex problems in these domains.
  • Deep understanding of building sustainable software systems at a large-scale engineering organization.
  • Experience influencing organizations on technical direction and best practices.
  • Experience working with cross-functional teams, including design, product, business, and data teams.
  • Strong focus on user experience, usability, scalability, reliability, and quality.
  • High empathy, excellent communication skills, and the ability to find compromise across the engineering organization.

Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match.
  • Global benefit programs supporting workspace, professional development, and caregiving.
  • Family planning support.
  • Gender-affirming care.
  • Mental health and coaching benefits.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave.
  • Equity in the form of restricted stock units may be available, depending on the position offered.

Skills

Machine LearningGenerative AIrecommender systemsfeed rankingrelevance modelingpersonalizationsoftware systemsScalabilityreliabilityuser experience

Similar roles

ML Engineering jobs
Reddit

Senior Staff Machine Learning Engineer, Notifications

RedditUnited States

As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.

266k – 372k/yrRemote10+ YOEML Engineering
Reddit

Senior Staff ML Engineer, Search & Recommendation

RedditUnited States

Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.

266k – 372k/yrRemote10+ YOEML Engineering
Headway

Staff Software Engineer

HeadwayNew York, NY

Staff-level engineer building LLM/ML systems for clinical documentation review, risk detection in healthcare claims, and provider-patient matching at a mental healthcare platform.

264k – 330k/yrRemote7+ YOEML Engineering
Pinterest

Sr. Staff Machine Learning Engineer, Content Quality

PinterestSan Francisco, CA

Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.

268k – 469k/yrHybridML Engineering
Runway

Member of Technical Staff, Robotics Research Engineer

RunwayNew York, NY

As a Member of Technical Staff, Robotics Research Engineer, you will lead the robotics vertical of world models, transforming video-native foundation models into policies for real robots. This hands-on role involves designing robot learning pipelines, deploying policies on hardware, and conducting experiments to advance manipulation and locomotion performance.

270k – 370k/yrOn-site7+ YOEML Engineering