Reddit2 дня назад
Machine Learning Manager, Feed Relevance (Retrieval)
Зарплата не указана
Remote - United States
Обязанности
- 01Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit’s product, ecosystem, and business objectives
- 02Translate 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
- 03Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact
- 04Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feed experiences
- 05Establish strong measurement, experimentation, and debugging practices so the team can understand retrieval quality, candidate coverage, source incrementality, and downstream impact
- 06Collaborate 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
- 07Maintain high standards for system performance, reliability, latency, cost efficiency, and responsible recommendation practices
- 08Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work
- 09Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team
Требования
- 012+ years of experience building and managing high-performing ML or recommender-systems teams
- 02Hands-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
- 03Strong understanding of recommender systems, especially candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement strategies
- 04Ability to develop and communicate a clear technical strategy across ambiguous problem spaces, balancing user relevance, ecosystem health, system scalability, and business impact
- 05Passion for developing scalable, well-designed, and responsible AI solutions that drive business value
- 06Strong 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
Условия
- 01Comprehensive Healthcare Benefits and Income Replacement Programs
- 02401k with Employer Match
- 03Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- 04Family Planning Support
- 05Gender-Affirming Care
- 06Mental Health & Coaching Benefits
- 07Flexible Vacation & Paid Volunteer Time Off
- 08Generous Paid Parental Leave
- 09Remote work option
- 10Base salary range: $253,300 — $354,600 USD
- 11Eligible to receive equity in the form of restricted stock units
- 12May be eligible to receive a commission depending on the position