Head of Applied Machine Learning
Summary
Leads applied ML team to build LLM-powered recommendation, ranking, and personalization systems for a gaming platform, defining metrics and deploying models.
- Apply LLMs for semantic understanding and intent detection
- Build recommendation and curation models
- Collaborate with product and engineering teams on ML adoption
- Define evaluation metrics and experimentation plans
- Design testing deploying and monitoring for LLM models
- Develop ranking and personalization systems
- Implement retrieval-augmented generation
- Lead applied machine learning model development
- Mentor and manage applied machine learning practitioners
- Own offline and online experimentation
- Translate business problems into modeling objectives
Perks/Benefits:
- Inclusive work environment
- Professional growth and mentorship