Machine Learning, Content and Navigation

Whatnot•Los Angeles, CA

1d•$245,000 - $345,000•Hybrid

About The Position

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Discovery Content and Navigation (CAN) team’s mission is to capture intent and content signals to build a seamless, engaging, and personalized navigation experience for Whatnot buyers. We’re passionate about enabling and maintaining a healthy discovery ecosystem—one where buyers can easily find fun shows and connect with sellers. Our work spans a wide range of problems, including search, taxonomy, events, and intent and content understanding. We leverage AI technology, make data-informed decisions, and ship quickly to deliver value to our users.

Requirements

4+ years of generalist software development experience in high growth startups, plus:
4+ years of industry experience building and deploying ML models to solve user problems at scale.
Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
Experience in applied statistical and machine learning fields e.g. search, recommendations, content understanding, natural language processing, and large language models.
Proficiency in Python, SQL, and common ML frameworks.
Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams in a remote environment.
Excellent product instincts. You first think about users rather than the best technical solution.
You are known for shipping products and features lightning-fast.

Responsibilities

Lead the design, development, and productionization of ML models to capture intent and content signals that powers personalized navigational experience, search, and recommendations
Lead ML-based projects from end-to-end: scoping and planning, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation
Support product initiatives like category and brand recommendations, promote high quality and relevant livestreams and products in feed and search.
Work closely with teammates and cross-functional partners to implement ML-based solutions into production at scale
Drive technical excellence and establish ML best practices across the team and org.

Benefits

Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
Parental Leave
16 weeks of paid parental leave + one month gradual return to work company leave allowances run concurrently with country leave requirements which take precedence.