Applied Scientist - Search Ranking
Milvus Group
Hybrid (San Francisco, US) · $146K - $172K · Full-time · Posted 6 months ago
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About the role
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Responsibilities
- Improve ranking quality for buyer intent and marketplace health
- Design offline and online evaluation strategies for search changes
- Partner with product and analytics on relevance goals
- Investigate regressions quickly when metrics move unexpectedly
- Contribute to feature design and retrieval-aware modelling choices
Requirements
- 5+ years in applied ML or search relevance
- Python for model development
- PyTorch for deep ranking or representation models
- SQL for feature analysis and offline evaluation
- Pandas for experiment preparation and investigation
- Statistics for A/B testing and metric interpretation
Benefits
- $146,000 - $172,000 base salary
- Hybrid in San Francisco
- RSUs and annual bonus
- Onsite meals and commuter support
- A mature product with large-scale relevance challenges
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Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$146,000 - $172,000
AI Expertise
Skills
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About Milvus Group
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