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Staff Data Scientist / Machine Learning Engineer - Listing Quality

Faire

$209,500 - $288,000
Apr 25, 2025
San Francisco, CA, US
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Faire is looking to improve the quality of its product listings using machine learning and AI techniques.

Requirements

  • 5+ years of industry experience using machine learning to solve real-world problems
  • Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
  • Strong programming skills
  • Experience with supervised fine tuning of multi-modal LLMs
  • Experience with listing quality for e-commerce

Responsibilities

  • Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
  • Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
  • Mentor and guide the work of more junior Data Scientists on Listing Quality.
  • Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences, ops processes, policy enforcement, etc.

Other

  • Master’s or PhD in Computer Science, Statistics, or related STEM fields
  • Strong communication skills and the ability to work in a highly cross-functional team
  • The ability to mentor Senior Data Scientists, develop team strategy, and lead model development without supervision
  • In-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays
  • Flexibility to work remotely up to 4 weeks per year