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Machine Learning Engineer, Growth

Whatnot · San Francisco, CA · Remote · Active · Ashby

Job facts

FieldValue
CompanyWhatnot
TitleMachine Learning Engineer, Growth
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-23 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Whatnot.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWhatnot
Source06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
ATS providerAshby

Description

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream 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 values 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 fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. 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 Buyer Growth team is responsible for driving Whatnot’s top-of-funnel growth and first-time buyer success. We're looking for a Machine Learning Engineer to accelerate buyer growth at Whatnot through intelligent, data-driven experiences. As the first ML engineer, you’ll build and own ML models personalization in onboarding and user targeting in our acquisition and engagement channels. This is a high-impact role on a team directly responsible for growing Whatnot’s buyer base and improving first-time user conversion. What you'll do: Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling). Own the full ML lifecycle. Build and own data pipelines, feature engineering, model training, deployment, and online experimentation. Build feedback loops from postbacks, conversions, and downstream revenue signals. Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders. Drive technical excellence and establish ML best practices across the Buyer Growth team. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. 5+ years of industry experience building and deploying ML systems at scale. Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes. Deep expertise in personalization, ranking, or user modeling; strong intuition around user behavior in consumer products. Advanced proficiency in Python, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost). Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams. Preferred Qualifications: Experience building ML applications in E-commerce or Social products Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc. 🎁 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. 💛 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.

Full job record

Job IDb98973a596ace640b169ca26170ffa2f906d2d7f
Org IDcd977e91-f8a4-4e3a-b46d-89af347f3aa9
Source ID06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
Board ID06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
Providerashby
Provider Job Keye3e7c019-4657-47a9-a9f3-123d2cd1a75e
TitleMachine Learning Engineer, Growth
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/whatnot/e3e7c019-4657-47a9-a9f3-123d2cd1a75e
Apply URLhttps://jobs.ashbyhq.com/whatnot/e3e7c019-4657-47a9-a9f3-123d2cd1a75e/application
First Seen At2026-05-29 05:19:20Z
Last Seen At2026-06-23 09:13:08Z
Last Checked At2026-06-23 09:13:08Z
Last Changed At2026-06-23 09:13:08Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=whatnot/date=2026-06-23/2026-06-23T09-11-47-821Z-6ad221eb0ad1c945653d9dbb8344543a685fd0fe1f8b2d42fdbcb6bad27c9616.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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  "apiVersion": "ashby-non-user-graphql-v1",
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  "publishedAt": null,
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  "employmentType": "FullTime",
  "secondaryLocations": []
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