Senior Staff Machine Learning Architect, ThredUp
Personalization
$200-230k
+ Equity
More information about location
3+ days a week in office (Oakland, CA)
Fashion resale platform
Posted today
Fashion resale platform
1001+ employees
Posted today
$200-230k
+ Equity
More information about location
3+ days a week in office (Oakland, CA)
1001+ employees
Company mission
To inspire a new generation to think secondhand first.
Role
Who you are
- 10+ years in Data Science, Machine Learning Engineering, or Software Engineering, including 5+ years focused specifically on recommender systems
- MS or PhD in Computer Science, Data Science, Engineering, or a related quantitative field; or equivalent industry experience
- We are open to considering candidates with prior position titles and experience as an Applied Scientist, Software Engineer, or Data Scientist
- Demonstrated experience architecting end-to-end recommender system pipelines that span multiple services. Deep expertise in machine learning models used across retrieval, ranking, and reranking
- A track record of setting technical direction across teams or product lines. Examples include: architecture decisions adopted org-wide, cross-team platform migrations, or serving as a technical authority across multiple engineering groups
- Experience balancing ML metrics (recall, precision, NDCG) against business metrics (conversion, AOV, etc.)
- Knowledge of how to build distributed systems at scale: low-latency serving, feature stores, vector databases, and streaming pipelines
- Excellent written and verbal communication. Able to drive alignment across technical and non-technical stakeholders without formal authority
- Experience building highly adaptive recommender systems, typically involving some aspect of real-time feature generation and reinforcement learning is a plus
- Experience working with large product catalogs with a high degree of cold start problems; this may but need not be in an eCommerce setting is a plus
- Hands-on experience working with OpenSearch is a plus
- Open-source contributions or publications in recommender systems, retrieval, or ranking is a plus
What the job involves
- We're looking for an Architect to define the technical strategy for our recommender system as we seek to personalize the experience for everyone on the ThredUp platform. In this role, you'll set the architectural direction that our personalization teams build on, and you'll be a key technical advisor to other teams shaping the data, backend, and frontend systems that power our recommender system
- You'll partner closely across engineering leadership, data science, and product to make sure our recommendation infrastructure scales with the business, balancing relevance, diversity, and business outcomes like conversion and AOV, while staying flexible enough to adapt to emerging product innovations
- This is a senior individual contributor role with a major opportunity to directly impact company performance. You won't have direct reports, but you'll drive impact by shaping how dozens of engineers and data scientists build the next era of personalized shopping experiences at ThredUp
- Define and own the long-term technical architecture for recommendation systems spanning retrieval, ranking, re-ranking, and real-time serving across multiple surfaces
- Act as the connective tissue across teams that build and operate recommender system components and influence investment decisions across the org by authoring architecture RFCs and leading technical reviews
- Design for scale: low-latency serving, high-throughput candidate retrieval, real-time feature freshness, and a catalog of millions of unique items listed at any point in time
- Partner with product and business stakeholders to translate merchandising, catalog, and revenue goals into ML system requirements
- Mentor across teams; raise the technical bar company-wide
- Be hands-on: read the latest recommender system research, prototype, review code and designs, and dig into production issues when the problem calls for it
Our take
Over 40% of Gen Z consumers claim to have bought used clothing as opposed to 20% of Gen X and Boomers. Yet, despite this change in fashion trends, consumers must often rely on brick-and-mortar thrift stores and unregulated second-hand eCommerce marketplaces in order to access and find pre-owned clothing.
ThredUp provides an online marketplace for the buying and selling of secondhand fashionwear, offering affordable prices on discount clothing whilst promising a regulated and consistent approach to quality and cleanliness standards. The company acquires its clothing through sellers sending packages of clothing, which the company then sifts through to decide what is sellable and what should be returned.
The company went public in 2021 and immediately acquired Remix, a European second-hand fashion outlet, as part of its international expansion plans. It has, however, struggled to achieve profitability thanks to global economic turmoil and a glut of new clothing in the fashion industry, causing prices to drop sharply. It is focusing on reducing its operating costs and expanding its storage capacity. Analysts expect it to weather the current conditions in good form.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2019
$100m
SERIES F
Sep 2015
$81m
SERIES E
Total funding: $234.3m
Company benefits
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- 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
Company HQ
Old Oakland, Oakland, CA
Leadership
James Reinhart
(Founder & CEO)Has an MBA from Harvard Business School and started out in teaching. Also co-founded the Beacon Education Network.
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