Machine Learning Manager, Sr. - Remote

## About the Role Reddit is seeking a Senior Machine Learning Manager, Video Ranking to lead its Media Ranking teams and a high-impact group of Machine Learning Engineers. This role will focus on improving relevance, personalization, discovery, and content distribution across Reddit's core product, with a particular focus on video and audio as central parts of the user experience. The role combines technical leadership, machine learning strategy, team development, and cross-functional collaboration. You will define the technical vision and roadmap for Feed Relevance, oversee sophisticated machine learning systems, collaborate with platform and infrastructure teams on AI-powered solutions, and help build a world-class machine learning organization. ## Key Responsibilities Define the technical vision and long-term roadmap for Feed Relevance. Align machine learning solutions with Reddit's product and business objectives. Lead and develop a high-performing team of Machine Learning Engineers. Coach team members and create opportunities for professional growth and increased impact. Partner with cross-functional teams to identify opportunities, establish expectations, and communicate team priorities and results. Oversee the design, development, and optimization of large-scale relevance, discovery, and content distribution systems. Guide technical execution and delivery for sophisticated machine learning solutions. Collaborate with platform and infrastructure teams to develop next-generation AI-powered solutions. Maintain high standards for system performance, reliability, and efficiency. Ensure solutions align with customer needs and responsible AI principles. Partner with recruiting teams to attract, interview, and hire diverse and highly skilled Machine Learning Engineers. Help grow and develop a world-class machine learning engineering team. ## Required Qualifications 5+ years of experience building and managing high-performing machine learning teams. Hands-on experience with large-scale production machine learning systems. Experience with transformer-based architectures, sequence models, or Large Language Models (LLMs). Strong understanding of recommender systems, including: Candidate retrieval Ranking Value modeling Ecosystem dynamics Measurement strategies Ability to develop and communicate a clear technical strategy aligned with broader business and product objectives. Ability to address the needs of internal customers through technical strategy and execution. Experience developing scalable and well-designed machine learning or AI solutions. Understanding of responsible AI principles. Strong interpersonal and communication skills. Ability to communicate complex technical concepts to diverse audiences. Strong cross-functional collaboration and relationship-building skills. Ability to lead technical teams and support their professional development. ## Preferred Qualifications The source listing does not specify additional preferred qualifications beyond the required experience and technical expertise. ## Skills & Competencies Machine Learning Engineering Machine Learning Leadership Engineering Management Technical Strategy Technical Roadmapping Video Ranking Media Ranking Feed Relevance Recommender Systems Recommendation Algorithms Candidate Retrieval Ranking Systems Value Modeling Personalization Content Discovery Content Distribution Transformer Architectures Sequence Models Large Language Models (LLMs) Production ML Systems AI-Powered Solutions Responsible AI System Performance Reliability Infrastructure Collaboration Cross-Functional Leadership Team Development Recruiting and Hiring Technical Communication ## Education & Experience Experience: 5+ years of experience building and managing high-performing ML teams. Hands-on experience with large-scale production machine learning systems. Experience with transformer-based architectures, sequence models, or LLMs. Experience with recommender systems and ranking technologies. Education: The source listing does not specify a required degree or educational qualification. ## Work Arrangement & Location Work Arrangement: Fully Remote Location: Kentucky, Kentucky, US Position: Remote — United States The role is designated as remote and is available to U.S.-based employees. ## Compensation & Benefits Base Salary: $266,000–$372,400 USD The role may span more than one career level. In addition to base salary, the position is eligible for equity in the form of restricted stock units and, depending on the position offered, may also be eligible for commission. Benefits for U.S.-based employees include: Medical, dental, and vision insurance Comprehensive healthcare benefits Income replacement programs 401(k) with employer match Paid vacation and time off Parental leave Family planning support Mental health and coaching benefits Global benefits supporting professional development, caregiving, and workspace needs Final compensation may vary based on factors including skills, depth of relevant work experience, licenses, credentials, role level, and other applicable factors. ## Interview & Candidate Privacy Information For select roles and locations, interviews may be recorded, transcribed, and summarized using artificial intelligence. Candidates will have an opportunity to opt out of recording, transcription, and summarization before scheduled interviews. If an interview is recorded, the company states that information collected may include identifiers, professional and employment-related information, sensory information such as audio/video recordings, and other information voluntarily provided during the interview. The company states that interview recordings are deleted promptly after a hiring decision. ## Equal Employment Information Reddit states that it is an equal opportunity employer committed to building a workforce representative of the communities it serves. Reasonable accommodations are available for qualified individuals with disabilities and disabled veterans during the application and interview process. Voluntary demographic information may be collected to help Reddit understand its talent pools and evaluate recruiting effectiveness. The source states that this information does not affect application decisions and is not shared with individuals making hiring decisions.