Responsibilities:
- Separate durable preference from noise by designing robust feature representations from high-cardinality, implicit behavioral data.
- Model temporal dynamics and changing tastes with sequential and recency-aware systems.
- Solve the cold-start problem using cohort signals, clustering, and content embeddings.
Qualifications:
- 5+ years of hands-on experience in data science or applied machine learning.
- Deep expertise in personalization, search ranking, or recommender systems.
- Production-level engineering skills in Python and SQL.
Perks & Benefits:
- Remote-first work environment with flexible location options.
- Unlimited vacation policy and universal paid parental leave.
- Comprehensive health, vision, dental, and life insurance with 401k match.
Hungryroot
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living. They are a distributed team of top talent across 28+ U.S. states with a remote-first culture emphasizing collaboration and flexibility.