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What you’ll do:
- Set the scientific direction for high-impact consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
- Build a durable understanding of users, their intent, needs, and behaviors that lead to lasting value.
- Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale.
Requirements:
- Deep expertise in consumer science, recommender systems, user modeling, or causal inference.
- Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential models.
- Experience with deep-learning frameworks such as PyTorch or JAX, and working across Product, Engineering, and Research teams.
Pay and Benefits:
- Base salary range of $313,000 - $365,100 USD, plus equity in the form of restricted stock units.
- Comprehensive benefits include medical, dental, vision insurance, 401(k) with employer match, generous time off, and parental leave.
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