Whatnot - Machine Learning Engineer, Content and Navigation
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Requirements
• 4+ years of industry experience building and deploying ML models to solve user problems at scale. • Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data. • Experience in applied statistical and machine learning fields e.g. search, recommendations, content understanding, natural language processing, and large language models. • Proficiency in Python, SQL, and common ML frameworks. • Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams in a remote environment. • Excellent product instincts. You first think about users rather than the best technical solution. • You are known for shipping products and features lightning-fast.
Responsibilities
• Lead the design, development, and productionization of ML models to capture intent and content signals that powers personalized navigational experience, search, and recommendations • Lead ML-based projects from end-to-end: scoping and planning, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation • Support product initiatives like category and brand recommendations, promote high quality and relevant livestreams and products in feed and search. • Work closely with teammates and cross-functional partners to implement ML-based solutions into production at scale • Drive technical excellence and establish ML best practices across the team and org. • US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, San Francisco, Los Angeles, and Seattle hubs. • Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
Benefits
• For US-based applicants: $245,000 - $345,000/year + benefits + stock options • The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. • 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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