Staff Data Scientist / Machine Learning Engineer, Faire

• 5+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to mentor Senior Data Scientists, develop team strategy, and lead model development without supervision
• Strong communication skills and the ability to work in a highly cross-functional team

Desirable

• At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace
• As the Listing Quality lead within the Brand Data Science team, you will be responsible for improving the quality of Faire’s product listings using ML and AI techniques
• This includes problems such as automatically detecting and fixing image and text issues, extracting structured product attributes, and identifying duplicates and product variants
• You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions
• You will mentor and guide the work of more junior Data Scientists who also work on Listing Quality
• You will independently drive data science vision, strategy, and execution and be the data science lead within the cross-functional Listing Quality pod, thinking end-to-end about the problem
• Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest
• Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!
• 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