Machine Learning Engineer - Recommendations & Personalization
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Summary
Develops recommendation and personalization systems for an ecommerce platform, focusing on ranking, user modeling, and A/B testing to enhance user engagement and drive conversions.
- Build recommendation and personalization systems
- Collaborate with product ops and CRM stakeholders
- Create evaluation sets and experiment harnesses
- Develop ranking and user modeling models
- Fine tune open source models for personalization and ranking
- Mentor ML engineers
- Own end to end model lifecycle dataset training evaluation experiments rollout
- Run offline and online A B testing
- Set up data pipelines and production monitoring
Perks/Benefits:
- Career growth
- Collaborative culture