Machine Learning Engineer, Growth

Whatnot offers a flexible, benefits-rich environment designed to accelerate growth, with a strong emphasis on product excellence and a collaborative culture. Based in Los Angeles with remote options, Whatnot is the largest live shopping platform in North America and Europe for buying, selling, and discovering a wide range of goods. Our distributed team operates across hubs in the United States, United Kingdom, Ireland, Poland, Germany, and Australia, moving quickly while staying closely connected to our users.

Benefits

• Flexible time off policy and company-wide holidays, including spring and winter breaks
• Comprehensive health coverage (medical, dental, and vision)
• Support for remote work, plus a home office setup allowance
• Monthly stipends for cell phone and internet
• Care benefits and a monthly wellness allowance
• Annual childcare allowance
• Lifetime support for family planning, including adoption and fertility expenses
• Retirement options with a 401(k) for the US (Traditional and Roth), employer match up to 4%; international pension plans
• Monthly budget to dogfood the app, reinforcing product understanding
• Parental leave of 16 weeks paid, plus a one-month gradual return to work (country requirements take precedence)
• Equal opportunity employer focused on diversity and inclusive growth
• All Whatnauts are encouraged to use Whatnot as buyers and sellers to deepen product insight

Responsibilities

• Lead the design, development, and deployment of ML models that drive user acquisition, activation, and retention, including ranking, targeting, and uplift modeling
• Own the full ML lifecycle: data pipelines, feature engineering, model training, deployment, and online experimentation; build feedback loops from postbacks, conversions, and downstream revenue signals
• Identify high-impact growth opportunities and partner with product, engineering, data, and marketing to shape the roadmap
• Promote technical excellence and establish ML best practices within the Buyer Growth team

Technologies

• Python
• SQL
• PyTorch
• TensorFlow
• XGBoost

Requirements

• 5+ years building and deploying ML systems at scale
• Proven track record of leading end-to-end ML projects with measurable business impact
• Deep expertise in personalization, ranking, or user modeling, with strong intuition about consumer behavior
• Advanced proficiency in Python, SQL, and common ML frameworks (PyTorch, TensorFlow, XGBoost)
• Strong communication and leadership skills, with the ability to influence roadmaps and align cross-functional teams