Astrocade in Palo Alto seeks a founding member for their recommendation system focusing on game discovery. You will design the systems that surface games to users, manage the entire data pipeline, and develop personalization models that evolve with user behavior. Ideal candidates have 4-7+ years in recommendation systems or ML engineering. The role offers competitive base salary, equity, and daily lunches as benefits. Join us and shape the future of interactive entertainment.
Qualifications
4-7+ years of experience in recommendation systems, ML engineering, or applied ML.
Experience in building ranking or personalization systems end-to-end.
Familiarity with architectural decisions for new systems.
Responsibilities
Design and build the systems for game recommendations.
Own the full data pipeline: ingestion, feature engineering, and serving.
Build personalization systems that adapt to user behavior.
Skills
Experience in recommendation systems
ML engineering
Data pipelines
Personalization systems
Job description
Astrocade in Palo Alto seeks a founding member for their recommendation system focusing on game discovery. You will design the systems that surface games to users, manage the entire data pipeline, and develop personalization models that evolve with user behavior. Ideal candidates have 4-7+ years in recommendation systems or ML engineering. The role offers competitive base salary, equity, and daily lunches as benefits. Join us and shape the future of interactive entertainment.