Astrocade
Member of Technical Staff (RecSys)
Palo Alto · Staff+
Sponsorship not specifiedDetected 34 days ago
Full-Stack DevelopmentMachine LearningDeep LearningData EngineeringResearch
About the role
- Our recommendation system doesn't exist yet, and it needs to.
- We have a large and fast-growing catalog of games, millions of users, and new content being created every day.
- What you show someone, and when, is the difference between a session that lasts two minutes and one that lasts two hours.
Responsibilities
- Design and build the systems that decide which games surface to which players, from candidate retrieval through final ranking
- Own the full data pipeline - ingestion, feature engineering, training data construction, and low-latency serving
- Build personalization systems and models that adapt to user behavior, preferences, and context over time
- Build eval infrastructure to measure recommendation quality: offline metrics, online experiments, and business outcomes
- Join us to help build the future of interactive entertainment.
Requirements
- Have 4-7+ years of experience in recommendation systems, ML engineering, or applied ML in a consumer context
Compensation
- Competitive base salary plus equity
Benefits
- Competitive base salary plus equity
- Health, dental, and vision coverage
- Familiarity with both rule-based and deep learning approaches, and when to use each
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This listing is sourced directly from Astrocade's careers page and normalized into a canonical job model.