Related skills
java python scala airflow spark📋 Description
- Lead the vision and roadmap for ranking, personalization, and recommendations.
- Develop and deploy ML models using DL, transformers, LLMs, RL, and causal methods.
- Build multi-objective optimization to balance engagement, retention, and monetization.
- Drive innovation in conversational discovery and contextual recommendations.
- Design, run, and analyze online A/B tests tied to KPIs.
- Architect scalable ML systems and data pipelines for rapid experimentation.
🎯 Requirements
- 8+ years ML at scale in search, recommendation, or personalization.
- Expert in ranking/retrieval, personalization, and multi-objective optimization.
- Experience building large-scale ML systems with DL, LLMs, RL, or bandits.
- Proficiency in Python, Java, or Scala.
- Experience with distributed systems and ML infra (Spark, Airflow, feature stores, cloud).
- MS or PhD in CS, Statistics, or a related field.
🎁 Benefits
- Comprehensive benefits: health, dental, vision, life, disability.
- Equity awards and retirement options (401(k)/pension).
- Parental leave and wellness programs.
- Hybrid work: in-office Mon-Thu with remote Fridays.
- Global accommodations and accessibility during the hiring process.
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