Senior Machine Learning Engineer

at  thredUP Inc

ABOUT THREDUP

ThredUp is transforming resale with technology and a mission to inspire the world to think secondhand first. By making it easy to buy and sell secondhand, ThredUp has become one of the world’s largest online resale platforms for apparel, shoes and accessories. Sellers love ThredUp because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. With ThredUp’s Resale-as-a-Service, some of the world’s leading brands and retailers are leveraging our platform to deliver customizable, scalable resale experiences to their customers. ThredUp has processed over 172 million unique secondhand items from 55,000 brands across 100 categories. By extending the life cycle of clothing, ThredUp is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.
Recognized on TIME Most Influential Companies of 2023, Digiday’s WorkLife 50 2023, TIME’s Best Inventions of 2022, and Lattice’s People Success Awards 2022.

WHAT WE OFFER:

• 4-day work week, with Fridays off
• Hybrid work environment: 3 days in the office and 1 day remote each week
• Competitive salary (we leverage market data)
• Many ThredUp employees also have the opportunity to own shares of ThredUp stock and are eligible for discretionary restricted stock unit awards
• Employee stock purchase plan
• Flexible PTO (take the time you need) + 13 company holidays
• Paid Sabbatical after 3 years of full time employment
• Generous paid parental leave for new mothers and fathers
• Medical, dental, vision, 401k, life and disability insurance offered
• We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth

• Research, Develop, monitor, support, and fine-tune production AI systems
• Research, assess, and integrate external AI systems (GPT, CLIP, etc)
• Help build ML Operations for research and development within the team
• Propose solutions and strategies to business challenges
• Collaborate with your peers and other cross-functional teams across time zones to ensure our platforms can scale the business and yield desired results
• Set realistic timelines with effective communication to technical/business stakeholders
• Contribute towards improving our processes and engineering culture