Associate Machine Learning Engineer

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.

How You Will Make An Impact

As an Associate Machine Learning Engineer at ThredUp, you report directly to the Sr. Machine Learning Engineer on the Ops Engineering team. You will design, build, and deploy scalable machine learning models that power core experiences across our marketplace and operating platform. You will partner closely with engineers and data scientists to translate business problems into production-ready algorithms that drive measurable impact.

You'll partner with others on Ops Engineering projects end-to-end — from problem framing and experimentation to production deployment and monitoring — leveraging cutting-edge technologies such as Computer Vision, Deep Reinforcement Learning, and Multimodal/Vision Language Models. You'll continuously improve the reliability, scalability, and effectiveness of our ML systems, and your work will directly influence how millions of customers discover, buy, and sell secondhand.

In This Role You’ll Get To:

• Design, build, and deploy machine learning models and algorithms into production environments.

• Develop scalable data pipelines using Python and Spark to process large and complex datasets.

• Collaborate with software engineers to integrate ML solutions into distributed systems.

• Improve and maintain real-time and batch inference systems with a focus on reliability and performance.

• Design clean, interpretable experiments and evaluate results using sound statistical methods.

• Analyze ambiguous data sources, navigate irregularities, and link datasets to generate meaningful insights.

• Write high-quality, maintainable code following software engineering best practices.

• Own the lifecycle of projects, including scoping, estimation, risk management, documentation, and monitoring.

• Communicate findings and recommendations clearly to technical and cross-functional partners.

• Contribute to team growth by sharing knowledge, modeling strong collaboration behaviors, and participating in hiring processes.

What We’re Looking For:

• Bachelor's degree in Computer Science, Engineering or related field, or equivalent work experience.

• 1–3 years of experience (including internships or academic research) building and deploying machine learning models in areas such as computer vision, traditional ML, or agent-based systems.

• Strong proficiency in Python for data processing and advanced analytics, with experience in frameworks such as PyTorch, TensorFlow, or OpenCV.

• Familiarity with agentic or autonomous system design patterns (e.g., tool-use agents, multi-step reasoning pipelines, reinforcement learning).

• Experience with SQL and working with large-scale datasets.

• Experience implementing statistical and mathematical modeling techniques (e.g., linear regression, tree-based models).

• Understanding of experiment design, A/B testing, and statistical significance.

• Experience building or contributing to production-grade algorithms and systems.

• Solid software engineering fundamentals, including version control, testing, and documentation.

• Curiosity, strong problem-solving skills, and the ability to independently learn new tools and techniques.

• Ability to prioritize the right tools for the business problem and manage competing timelines.

• Clear written and verbal communication skills, with the ability to tailor messaging to different audiences.

Many ThredUp employees also have the opportunity to own shares of ThredUp stock, ThredUp employees are eligible for discretionary restricted stock unit awards, as well as a discount when purchasing ThredUp stock if voluntarily participating in ThredUp’s Employee Stock Purchase Plan. Subject to eligibility requirements, you’ll also receive other benefits: Comprehensive medical & dental coverage, vision, 401k, life and disability insurance.

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

We believe diversity, inclusion and belonging is key for our team

At ThredUp, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

If you are a candidate with a disability and have a reasonable accommodation request for the job application process, please email disabilitysupport@thredup.com the specific details of your disability related accommodation request. This email address is reserved for candidates with disabilities only. General application inquiries will not receive a response.

This role is not eligible for visa sponsorship.

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

We believe diversity, inclusion and belonging is key for our team

At ThredUp, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

If you are a candidate with a disability and have a reasonable accommodation request for the job application process, please email disabilitysupport@ThredUp.com the specific details of your disability related accommodation request. This email address is reserved for candidates with disabilities only. General application inquiries will not receive a response.