ML Engineer - Remote
Sundayy · United States
- Remote
- Full-time
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About the role
About The Company
Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe dedicated to enabling users to buy, sell, and discover a wide range of products. Our platform caters to diverse categories including trading cards, fashion, electronics, and live plants, empowering sellers to build and grow their own businesses. We are pioneering live commerce at an unprecedented scale in the Western markets, shaping an entirely new industry with innovative approaches and a passionate team. As a remote co-located organization, we operate from hubs across the US, UK, Ireland, Poland, Germany, and Australia, fostering a dynamic, fast-paced environment driven by our core values. Recognized as the #1 Best Startup Employer in America by Forbes, we are committed to creating a vibrant workplace where passion meets impact. Our mission is to enable anyone to turn their passion into a business and to bring people together through commerce. We continuously evolve our platform and services, driven by the latest updates shared through our news and engineering blogs. Join us and be part of a groundbreaking journey in live commerce innovation.
About The Role
The Buyer Growth team at Whatnot is focused on expanding our top-of-funnel growth and ensuring the success of first-time buyers. We are seeking a talented Machine Learning Engineer to accelerate buyer acquisition and engagement through intelligent, data-driven experiences. As the first ML engineer in this team, you will be responsible for designing, developing, and deploying machine learning models that personalize onboarding experiences and optimize user targeting across our acquisition and engagement channels. Your work will directly influence our ability to grow the buyer base and improve conversion rates for new users. This high-impact role involves building end-to-end ML solutions, managing data pipelines, engineering features, and conducting online experiments to continuously refine our models. Collaborating with product, engineering, data, and marketing teams, you will identify high-impact opportunities where machine learning can unlock growth and establish best practices for ML deployment and maintenance. Your contributions will be instrumental in shaping the future of live commerce and enhancing user experiences on our platform.
Qualifications
Whatnot is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other protected characteristic under applicable law. We believe that a diverse workforce enhances our company culture and drives innovation, and we actively encourage applicants from all backgrounds to join our team.
Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe dedicated to enabling users to buy, sell, and discover a wide range of products. Our platform caters to diverse categories including trading cards, fashion, electronics, and live plants, empowering sellers to build and grow their own businesses. We are pioneering live commerce at an unprecedented scale in the Western markets, shaping an entirely new industry with innovative approaches and a passionate team. As a remote co-located organization, we operate from hubs across the US, UK, Ireland, Poland, Germany, and Australia, fostering a dynamic, fast-paced environment driven by our core values. Recognized as the #1 Best Startup Employer in America by Forbes, we are committed to creating a vibrant workplace where passion meets impact. Our mission is to enable anyone to turn their passion into a business and to bring people together through commerce. We continuously evolve our platform and services, driven by the latest updates shared through our news and engineering blogs. Join us and be part of a groundbreaking journey in live commerce innovation.
About The Role
The Buyer Growth team at Whatnot is focused on expanding our top-of-funnel growth and ensuring the success of first-time buyers. We are seeking a talented Machine Learning Engineer to accelerate buyer acquisition and engagement through intelligent, data-driven experiences. As the first ML engineer in this team, you will be responsible for designing, developing, and deploying machine learning models that personalize onboarding experiences and optimize user targeting across our acquisition and engagement channels. Your work will directly influence our ability to grow the buyer base and improve conversion rates for new users. This high-impact role involves building end-to-end ML solutions, managing data pipelines, engineering features, and conducting online experiments to continuously refine our models. Collaborating with product, engineering, data, and marketing teams, you will identify high-impact opportunities where machine learning can unlock growth and establish best practices for ML deployment and maintenance. Your contributions will be instrumental in shaping the future of live commerce and enhancing user experiences on our platform.
Qualifications
- 5+ years of industry experience building and deploying scalable machine learning systems
- Proven success in leading end-to-end ML projects that deliver measurable business results
- Deep expertise in personalization, ranking, or user modeling, with strong intuition around consumer user behavior
- Advanced proficiency in Python, SQL, and popular ML frameworks such as PyTorch, TensorFlow, and XGBoost
- Strong communication and leadership skills, with the ability to influence product roadmaps and align cross-functional teams
- Experience working in fast-paced environments with a focus on growth and user engagement
- Lead the design, development, and deployment of machine learning models that enhance user acquisition, activation, and retention efforts
- Own the full ML lifecycle, including building data pipelines, feature engineering, model training, deployment, and online experimentation
- Implement feedback loops from postbacks, conversions, and downstream revenue signals to continuously improve models
- Identify and prioritize high-impact opportunities for machine learning to drive growth, collaborating with product, engineering, data, and marketing teams
- Establish and promote ML best practices and technical excellence across the Buyer Growth team
- Monitor model performance and make iterative improvements to optimize business outcomes
- Flexible time off policy and company-wide holidays, including spring and winter breaks
- Comprehensive health insurance options covering Medical, Dental, and Vision
- Support for remote work, including home office setup allowance
- Monthly allowances for cell phone, internet, and wellness activities
- Care benefits and annual allowances for childcare expenses
- Lifetime benefits for family planning, including adoption and fertility expenses
- Retirement plans including 401(k) with employer matching (up to 4%) in the US and pension plans internationally
- Monthly allowance for app testing and usage (dogfooding)
- Paid parental leave of 16 weeks plus a gradual return to work period
Whatnot is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other protected characteristic under applicable law. We believe that a diverse workforce enhances our company culture and drives innovation, and we actively encourage applicants from all backgrounds to join our team.