Machine Learning Engineer, Applied Research
Hybrid (New York, NY)$210k - $300kFull-timePosted 4w ago
About the role
Role focused on leading applied ML research for marketplace dynamics, building predictive models and simulators, and advancing evaluation and experimentation designs for Whatnot's multi-sided live marketplace.
Responsibilities
- 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
Qualifications
- 5+ years of industry experience building and deploying ML models to solve user problems at scale
- Depth in at least one: 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 real-world problems on consumer-scale data
- Advanced proficiency in Python, SQL, and ML frameworks like PyTorch, XGBoost
- 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
Skills
Required:PythonSQLML Frameworks (PyTorch)Statistics and Experiment Design
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
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Whatnot
Whatnot is the largest livestream shopping platform in the U.S.
Whatnot is the largest livestream shopping platform in the U.S., connecting buyers and sellers in real-time across any category – from collectibles like trading cards to comics, fashion, sneakers, and more.
marketplacee-commerce
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