Machine Learning Engineer, Applied Research

Description

Join the Future of Commerce with Whatnot!

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team, we're inspired by our <u>values</u> (https://www.whatnot.com/careers#principles) and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.

We're one of the <u>fastest growing marketplaces</u> (https://www.nytimes.com/2025/10/28/business/dealbook/whatnot-livestream-shopping-fundraise.html) and were recently named the <u>#1 Best Startup Employer in America</u> (https://www.forbes.com/lists/americas-best-startup-employers/) by Forbes. Check out the latest Whatnot updates on our <u>news</u> (https://blog.teamwhatnot.com/) and <u>engineering blogs</u> (https://medium.com/whatnot-engineering) and join us as we enable anyone to turn their passion into a business and bring people together through commerce.

Role

Lead research projects across the marketplace dynamics problem area: simulation, auction and allocation mechanics, long-term objective modeling, exploration and information value, or marketplace experimentation methods

Take ideas from hypothesis to production: literature review, prototyping, offline validation, shadow testing, and online experiments shipped through partner teams in Discovery and the Seller org

Build models of how the marketplace behaves as a system: learned simulators that predict segment-level effects of ranking and policy changes, and surrogate models of long-term marketplace outcomes

Model Whatnot's actual market mechanics: auction and bidding dynamics, and discovery exposure allocation as a portfolio problem, including allocation to rising sellers

Advance how a multi-sided live marketplace evaluates changes: off-policy evaluation, switchback and interference-robust experiment designs, and variance reduction

Contribute to Whatnot's external technical presence through publications, open-source work, and public benchmarks

NYC Based:

Team members in this role are required to be within commuting distance (50 miles) of our New York City hub.

You

Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Machine Learning Engineer you should have:

5+ years of industry experience building and deploying ML models to solve user problems at scale

Depth in at least one of: recommendation systems, causal inference, off-policy evaluation, reinforcement learning and bandits, auction or mechanism design, or marketplace experimentation

A track record of applying scientific methods to solve real-world problems on consumer-scale data

Advanced proficiency in Python, SQL, and common ML frameworks like PyTorch, XGBoost, etc

Strong grounding in applied statistics, experiment design and theoretical machine learning

Strong communication and leadership skills; ability to influence roadmaps and align cross-functional teams in a remote environment

Preferred Qualifications:

Compensation

For Full-Time (Salary) US-based applicants: $210,000k/year to $300,000k/year + benefits + equity.

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.

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
• Care benefits
• 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
• Parental Leave
• Please note: Whatnot will only contact you through official @whatnot.com email addresses. If you see an email impersonating a Whatnot recruiter, please disregard and report it as spam.
• EOE
• Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
• $210K – $300K
• The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
• Experience: Any (new grads ok)
• Visa: US citizen/visa only