below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$202,800–$260,254
— the blue band above.
At the midpoint, this role pays about
$304k
versus about
$232k
for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has
89 open roles
on FindRole.
Listed pay typically runs
$216,700–$303,000
across 89 roles with salary data.
The Machine Learning Manager, Feed Ecosystems leads a high-impact team of Machine Learning Engineers focused on building recommendation systems that support sustainable growth across users, posts, and communities. You will define the technical vision and roadmap, overseeing the design and optimization of ML systems to improve cold-start relevance, new post distribution, and community discovery. The role requires managing the development of scalable AI-powered systems that balance personalization with ecosystem quality. Key technical requirements include deep expertise in large-scale production ML, recommender systems, candidate retrieval, ranking, value modeling, content understanding, and LLM-powered recommendation applications. You will solve complex problems regarding feed quality and community health by operationalizing signals for subjective and objective quality while ensuring responsible AI practices and high system reliability.
Define the technical vision and long-term roadmap for Feed Ecosystems and recommender-system investments.
Oversee the design, development, and optimization of ML systems for cold-start relevance and feed quality.
Coach and support the professional development of a team of Machine Learning Engineers.
Define and operationalize signals for subjective and objective quality to ensure long-term ecosystem health.
Collaborate with platform and infrastructure teams to build scalable AI-powered systems for content distribution.
Maintain high standards for system performance, reliability, efficiency, and responsible AI practices.
Partner with recruiting to attract, interview, and hire diverse and talented machine learning engineers.
What we're looking for
2+ years of experience building and managing high-performing ML or recommender-systems teams.
Hands-on experience with large-scale production ML systems, including recommender systems, personalization, cold-start modeling, content understanding, or LLM-powered applications.
Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies.
Ability to develop and communicate a clear technical strategy across ambiguous problem spaces.
Passion for developing scalable, well-designed, and responsible AI systems that improve user value and ecosystem health.
Strong interpersonal skills and the ability to communicate complex technical topics to diverse audiences and cross-functional partners.
Machine Learning
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Remote (San Francisco, CA)18 days ago
$227,871–$469,147
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