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

• Comprehensive healthcare
• All of our offices have been designed with local in mind—from our architects to our coffee blends
• Paid vacation time, holidays, and company-wide “Faire Fundays.”
• Including a monthly credit toward your wellness-related programs
• Generous parental and family leave, as well as fertility support benefits
• Including free access to Modern Health therapists and resources
• Optional morning meditation, plus a free Headspace membership
• Faire will match up to US$250 of your charitable donations, every year
• For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
• Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore

Total funding: $1.5bn

Faire is a company that helps retailers find and buy wholesale merchandise for their stores, pairing independent brands with retailers. The company connects two million retailers globally to tens of thousands of brands across the globe.