Whatnot - Machine Learning Engineer, Growth
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Requirements
• 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.
Responsibilities
• 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. • 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.
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 • Monthly allowance for cell phone and internet • 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!). • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
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