Это топовое предложение от крупного продуктового гиганта с передовым AI-стеком, четким разделением ответственности и зарплатой значительно выше рыночной.
Machine Learning Manager (AI/Recommender Systems): Leading the Feed Retrieval team to build systems that identify and shape candidate inventory for personalized feeds with an accent on scalability and model quality. Focus on expanding high-quality content recommendations, improving discovery, and building low-latency ML infrastructure.
Location: Remote (United States)
Salary: $253,300 - $354,600 USD
Company
Reddit is a community-driven platform for open and authentic conversations across thousands of interest-based communities.
What you will do
Define the technical vision and long-term roadmap for Feed Retrieval aligned with product and business objectives.
Manage, coach, and develop a high-impact team of Machine Learning Engineers.
Oversee the design and optimization of retrieval systems to source relevant and diverse candidates for personalized feeds.
Establish measurement and experimentation practices to evaluate retrieval quality and downstream impact.
Collaborate with ML platform, infrastructure, ranking, and safety teams to build scalable, low-latency systems.
Partner with recruiting to attract and hire diverse, world-class ML talent.
Requirements
2+ years of experience managing high-performing ML or recommender-systems teams.
Hands-on experience with large-scale production ML, specifically retrieval models, embeddings, transformers, or LLMs.
Deep domain knowledge in candidate retrieval, indexing systems, and feed personalization.
Ability to communicate complex technical strategies across ambiguous problem spaces.
Must be based in the United States.
Culture & Benefits
Comprehensive healthcare benefits and income replacement programs.
401k with employer match.
Flexible vacation and paid volunteer time off.
Generous paid parental leave and family planning support.
Mental health, coaching, and gender-affirming care benefits.
Global benefit programs covering workspace and professional development.
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