Key skills
PandasPythonSQLML
About this role
Role Overview
- Architect the ranking backbone for query understanding and personalization
- Design and build a search autosuggest system
- Develop production-grade Multi-Task Learning
- Own the inference layer for quality optimization
- Advance evaluation practices for long-horizon metrics
- Partner across teams to translate business goals into ranking policies
- Mentor ML engineers in ranking expertise
Requirements
- 5+ years applying ML at scale
- Proven track record improving ranking or recommendation systems in production
- Experience in multi-objective or constrained optimization
- Strong coding (Python) and data fluency (SQL/Pandas)
- Expertise in classic ML techniques
- Excellent analytical skills
Tech Stack
- Pandas
- Python
- SQL
Benefits
- Flexible work arrangements
- Compensation grants
- Health insurance
- Retirement plans
- Paid time off
- Professional development opportunities