Machine Learning Engineer, Growth

Das ist der Job

Join the Future of Commerce with Whatnot!

Darum lohnt es sich

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. Role The Buyer Growth team is responsible for driving Whatnot’s top‑of‑funnel growth and first‑time buyer success.

This is a high‑impact role on a team directly responsible for growing Whatnot’s buyer base and improving first‑time user conversion. Drive technical excellence and establish ML best practices across the Buyer Growth team. Strong communication and leadership skills; ability to influence roadmap and align cross‑functional teams.

Preferred Qualifications: 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 EOE Whatnot is proud to be an Equal Opportunity Employer.

This range is only inclusive of base salary or hourly rate, not benefits or equity. #J-18808-Ljbffr 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.

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. 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. 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. 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).

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. Compensation $190K – $280K 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.