Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $253,300–$354,600 / yr
- Posted
- 44 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
How this pay compares to similar roles
This role pays more than 92% of similar roles. Most pay $202,800–$260,899 — the shaded 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 77 open roles on FindRole.
Listed pay typically runs $217,000–$303,400 across 77 roles with salary data.
Most-posted roles
- Software Engineer 19
- Data Scientist 8
- Machine Learning Engineer 5
- Frontend Engineer 4
- Machine Learning Systems Engineer 4
At a glance
TL;DR · Machine Learning Manager, Feed Ecosystems
As a Machine Learning Manager, Feed Ecosystems, you will lead 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 for feed ecosystems while overseeing the design, development, and optimization of machine learning models to improve cold-start relevance, community discovery, and overall feed quality. The role requires deep expertise in large-scale production ML systems, specifically involving recommender systems, personalization, content understanding, and LLM-powered recommendation applications. You will collaborate with cross-functional partners to balance user value with ecosystem health. Key technical competencies include candidate retrieval, ranking, value modeling, and measurement strategies. Your work addresses the challenge of balancing personalized discovery with high-quality content distribution across a vast network of diverse communities.
Skills
What you'll do
- Define the technical vision and long-term roadmap for Feed Ecosystems and recommender systems.
- Oversee the design, development, and optimization of ML systems for cold-start relevance and community discovery.
- Coach and develop a team of Machine Learning Engineers to grow their skills and impact.
- Partner with cross-functional teams like product, design, and safety to align on goals and expectations.
- Define and operationalize signals for quality, engagement, and long-term ecosystem health.
- Collaborate with infrastructure teams to build scalable AI systems for personalization and content distribution.
- Maintain high standards for system performance, reliability, and responsible AI practices.
- Recruit, interview, and hire diverse talent to grow the machine learning engineering team.
What we're looking for
- Experience of at least 2 years building and managing high-performing ML or recommender systems teams.
- Hands-on experience with large-scale production ML systems including recommender systems, personalization, and cold-start modeling.
- Expertise in LLM-powered recommendation applications and content understanding.
- Strong knowledge of candidate retrieval, ranking, value modeling, and ecosystem dynamics.
- Ability to develop and communicate technical strategies across ambiguous problem spaces.
- Experience building scalable, well-designed, and responsible AI systems.
- Exceptional communication skills to explain complex technical topics to diverse audiences.
- Ability to collaborate with cross-functional partners including product, design, data science, and safety teams.
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