Machine Learning Engineer, Growth

Posted 23 Days Ago
San Francisco, CA, USA
In-Office
190K-280K Annually
Senior level
eCommerce • Mobile • Retail
Buy, Sell & Go Live
The Role
As a Machine Learning Engineer in the Buyer Growth team, you'll design and deploy ML models to drive user acquisition and improve retention. You'll manage the entire model lifecycle and collaborate across teams to identify impactful growth opportunities.
Summary Generated by Built In
🚀 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 model lifecycle: from data collection and feature engineering to model training, evaluation, deployment, and online experimentation.

  • 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.

Skills Required

  • 5+ years of industry experience building and deploying ML systems at scale
  • Demonstrated success in leading end-to-end ML projects
  • Deep expertise in personalization, ranking, or user modeling
  • Advanced proficiency in Python, SQL, and common ML frameworks
  • Strong communication and leadership skills
  • Experience building ML applications in E-commerce or Social products
  • Prior experience in growth domains

What the Team is Saying

Kaitlyn
Shahana
Logan Bestwick
Charles

Whatnot Compensation & Benefits Highlights

  • Healthcare Strength Healthcare is considered comprehensive with multiple plan options through a major carrier and broad ancillary coverage including dental, vision, life, and disability. Employer cost share is described as very high for employees, supporting strong affordability.
  • Parental & Family Support Paid parental leave with a structured return and additional childcare and family‑planning allowances provide robust support for growing families. These benefits extend beyond standard offerings and are emphasized as core parts of the package.
  • Leave & Time Off Breadth Flexible PTO is paired with company‑wide winter and summer breaks to create predictable recharge windows. This combination offers both autonomy and coordinated downtime across teams.

Whatnot Insights

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The Company
HQ: Culver City, California
1,200 Employees
Year Founded: 2019

What We Do

We bring people together around the things they love and turn their passions into their livelihood.

Why Work With Us

Passion is the centerpiece of our culture. We’ve got passionate buyers, sellers, and employees. We want you to bring your passions to Whatnot.

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Whatnot Offices

Remote Workspace

Employees work remotely.

Our “office optional” policy lets you work where you’re most productive. With options of working from home, in person, or a mix of both. We have office hubs within the US, UK, Ireland, Poland, and Germany today.

Typical time on-site: None
HQWhatnot
Berlin, DEU
Dublin, IE
Kraków, PL
London, GB
New York, NY
San Francisco, CA
Seattle, WA
Learn more

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