Machine Learning Manager, Feed Relevance (Retrieval)

Bazeta; United States; A distancia; USD 253.000 - 355.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

401k with employer match

Generous paid time off

Descripción de la vacante

Reddit is seeking an experienced Engineering Manager to lead the Feed Retrieval team, building scalable ML systems that identify, retrieve, and shape candidate inventory for personalized feeds used by 120M+ daily users. You will define the technical vision, drive the roadmap, and mentor engineers as you partner with ML platform, infrastructure, ranking, safety, and product teams.

The role emphasizes hands-on leadership, cross-functional collaboration, and delivering impact through high-quality

Formación

• 2+ years of experience leading ML or recommender-systems teams.
• Hands-on experience with large-scale production ML systems (recommender systems, retrieval models, embeddings).
• Strong understanding of recommender systems, ranking handoffs, and measurement strategies.
• Ability to develop and communicate a clear technical strategy across ambiguous problem spaces.

Responsabilidades

• Define Technical Vision & Strategy for Feed Retrieval and long-term roadmap.
• Translate goals into a focused team roadmap with prioritization across model quality, inventory, and infrastructure.
• Coach and develop team members to grow their skills and impact.
• Oversee design, development, and optimization of retrieval systems for high-quality candidates.

Conocimientos

Leading ML Teams

Deep ML Expertise

Recommender Systems

Strategic Thinking

Impact-driven Mindset

Communication & Collaboration

Descripción del empleo

# Machine Learning Manager, Feed Relevance (Retrieval)United States2 hours agoID 5028311Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: RedditLevel: Senior## DescriptionReddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is looking for an experienced Engineering Manager to lead our Feed Retrieval team. In this role, you’ll lead a high-impact team of Machine Learning Engineers building the systems that identify, retrieve, and shape the candidate inventory powering Reddit’s personalized feeds. Your team will work at the foundation of Feed Relevance: expanding the set of high-quality content Reddit can recommend, improving personalization and discovery for users across different levels of signal, and building scalable ML systems that directly shape the experiences of over 120M+ daily users. If applying ML / AI in production to improve Reddit Relevance excites you, then you’ve found the right place. Responsibilities: • Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit’s product, ecosystem, and business objectives. • Roadmap & Prioritization: Translate broad Feed Relevance goals into a focused team roadmap, making clear prioritization tradeoffs across model quality, inventory expansion, experimentation velocity, infrastructure cost, and operational reliability. • Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact. • Technical Execution & Delivery: Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feed experiences. • Measurement & Learning: Establish strong measurement, experimentation, and debugging practices so the team can understand retrieval quality, candidate coverage, source incrementality, and downstream impact. • Platform & Infrastructure Collaboration: Collaborate with ML platform, infrastructure, ranking, safety, and product teams to build scalable, low-latency retrieval systems that can support the next generation of AI-powered recommendations. • Operational Excellence: Maintain high standards for system performance, reliability, latency, cost efficiency, and responsible recommendation practices. • Cross-Functional Partnership: Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work. • Recruiting & Growth: Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team. Qualifications: • Experience Leading ML Teams: 2+ years of experience building and managing high-performing ML or recommender-systems teams. • Deep ML Expertise: Hands-on experience with large-scale production ML systems, ideally including recommender systems, retrieval models, embedding-based systems, sequence models, transformer-based architectures, or LLM-powered recommendation applications. • Technical Domain Knowledge: Strong understanding of recommender systems, especially candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement strategies. • Strategic Thinking: Ability to develop and communicate a clear technical strategy across ambiguous problem spaces, balancing user relevance, ecosystem health, system scalability, and business impact. • Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value. • Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners. 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 #LI-remote, #LI-JS5 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $253,300—$354,600 USD... Source: Jobicy (https://jobicy.com/jobs/159080-machine-learning-manager-feed-relevance-retrieval)This listing comes from a partner feed. Apply on the source website.