{"schemaVersion":"jobsearcher.job.v1","id":"570314fa4b804ee32c6922d5","url":"https://jobsearcher.com/jobs/570314fa4b804ee32c6922d5","canonicalUrl":"https://jobsearcher.com/jobs/570314fa4b804ee32c6922d5","title":"Machine Learning Engineer - Remote","description":"About The CompanyWhatnot is a dynamic and rapidly growing platform that specializes in live shopping experiences, connecting buyers and sellers in a seamless and engaging environment. With a focus on fostering community and trust, Whatnot offers a wide range of products, from collectibles and toys to fashion and electronics, through innovative live streaming and real-time transactions. Headquartered in Los Angeles with flexible remote work options, the company is committed to leveraging cutting-edge technology and data-driven strategies to enhance user engagement, drive growth, and deliver exceptional customer experiences. As part of its expansion, Whatnot is dedicated to building a diverse and talented team that thrives on innovation, collaboration, and a shared passion for redefining e-commerce.About The RoleWhatnot is seeking a highly skilled Machine Learning Engineer to join its Buyer Growth team. This pivotal role involves owning and developing models that power critical onboarding and targeted experiences to accelerate buyer growth and improve first-time conversions. Based in Los Angeles or remotely, the ideal candidate will be responsible for end-to-end machine learning initiatives that influence acquisition, activation, and retention strategies for first-time buyers. You will collaborate closely with cross-functional teams including product, engineering, data, and marketing to identify high-impact opportunities where machine learning can unlock growth. Your expertise will help establish best practices, drive technical excellence, and develop scalable solutions that deliver measurable business outcomes. This role offers a unique opportunity to impact the entire buyer lifecycle through innovative ML models, from data pipelines and feature engineering to deployment and online experimentation.Qualifications5+ years of industry experience building and deploying machine learning systems at scaleProven track record leading end-to-end ML projects that achieved measurable business resultsDeep expertise in personalization, ranking, or user modeling, with strong intuition about consumer behavior in digital productsAdvanced proficiency in Python, SQL, and popular ML frameworks such as PyTorch, TensorFlow, and XGBoostStrong communication and leadership skills, with the ability to influence product roadmaps and align cross-functional teamsExperience with data pipelines, feature engineering, model training, deployment, and online experimentationAbility to identify high-impact opportunities and translate them into scalable ML solutionsResponsibilitiesDesign, develop, and productionize machine learning models that enhance user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modelingOwn the full ML lifecycle, including data pipeline creation, feature engineering, model training, deployment, and online experimentationBuild feedback loops from postbacks, conversions, and downstream revenue signals to continuously improve model performanceIdentify and prioritize high-impact growth opportunities by collaborating with product, engineering, data, and marketing teamsEstablish and promote ML best practices to ensure technical excellence across the Buyer Growth teamMonitor and evaluate model performance, making data-driven adjustments to optimize outcomesContribute to the development of scalable, maintainable, and efficient ML solutions that support business growthBenefitsFlexible time off and company-wide holidays, including spring and winter breaksComprehensive health coverage options (Medical, Dental, Vision)Support for remote work, including home office setup allowanceMonthly stipends for cell phone and internet expensesCare benefits and wellness stipends to promote employee well-beingAnnual childcare allowance and lifetime support for family planning, including adoption and fertility expensesRetirement options such as Traditional and Roth 401(k) in the US with employer matching up to 4%, along with international pension plansMonthly allowance to explore and test the platform’s app featuresA dogfood-friendly culture with budget support for using Whatnot as both buyer and sellerParental leave including 16 weeks of paid parental leave plus a gradual return to work over one month, respecting country-specific leave requirementsEqual OpportunityWhatnot is an equal opportunity employer committed to fostering an inclusive environment. We celebrate diversity and are dedicated to creating a workplace where all employees feel valued, respected, and empowered to contribute their unique perspectives. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply and join our team in shaping the future of e-commerce and live shopping experiences.","company":"Sundayy","rawCompany":"sundayy","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-08-14T15:17:53.622Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-1199.06","title":"Online Merchants","slug":"online-merchants"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Remote","description":"About The CompanyWhatnot is a dynamic and rapidly growing platform that specializes in live shopping experiences, connecting buyers and sellers in a seamless and engaging environment. With a focus on fostering community and trust, Whatnot offers a wide range of products, from collectibles and toys to fashion and electronics, through innovative live streaming and real-time transactions. Headquartered in Los Angeles with flexible remote work options, the company is committed to leveraging cutting-edge technology and data-driven strategies to enhance user engagement, drive growth, and deliver exceptional customer experiences. As part of its expansion, Whatnot is dedicated to building a diverse and talented team that thrives on innovation, collaboration, and a shared passion for redefining e-commerce.About The RoleWhatnot is seeking a highly skilled Machine Learning Engineer to join its Buyer Growth team. This pivotal role involves owning and developing models that power critical onboarding and targeted experiences to accelerate buyer growth and improve first-time conversions. Based in Los Angeles or remotely, the ideal candidate will be responsible for end-to-end machine learning initiatives that influence acquisition, activation, and retention strategies for first-time buyers. You will collaborate closely with cross-functional teams including product, engineering, data, and marketing to identify high-impact opportunities where machine learning can unlock growth. Your expertise will help establish best practices, drive technical excellence, and develop scalable solutions that deliver measurable business outcomes. This role offers a unique opportunity to impact the entire buyer lifecycle through innovative ML models, from data pipelines and feature engineering to deployment and online experimentation.Qualifications5+ years of industry experience building and deploying machine learning systems at scaleProven track record leading end-to-end ML projects that achieved measurable business resultsDeep expertise in personalization, ranking, or user modeling, with strong intuition about consumer behavior in digital productsAdvanced proficiency in Python, SQL, and popular ML frameworks such as PyTorch, TensorFlow, and XGBoostStrong communication and leadership skills, with the ability to influence product roadmaps and align cross-functional teamsExperience with data pipelines, feature engineering, model training, deployment, and online experimentationAbility to identify high-impact opportunities and translate them into scalable ML solutionsResponsibilitiesDesign, develop, and productionize machine learning models that enhance user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modelingOwn the full ML lifecycle, including data pipeline creation, feature engineering, model training, deployment, and online experimentationBuild feedback loops from postbacks, conversions, and downstream revenue signals to continuously improve model performanceIdentify and prioritize high-impact growth opportunities by collaborating with product, engineering, data, and marketing teamsEstablish and promote ML best practices to ensure technical excellence across the Buyer Growth teamMonitor and evaluate model performance, making data-driven adjustments to optimize outcomesContribute to the development of scalable, maintainable, and efficient ML solutions that support business growthBenefitsFlexible time off and company-wide holidays, including spring and winter breaksComprehensive health coverage options (Medical, Dental, Vision)Support for remote work, including home office setup allowanceMonthly stipends for cell phone and internet expensesCare benefits and wellness stipends to promote employee well-beingAnnual childcare allowance and lifetime support for family planning, including adoption and fertility expensesRetirement options such as Traditional and Roth 401(k) in the US with employer matching up to 4%, along with international pension plansMonthly allowance to explore and test the platform’s app featuresA dogfood-friendly culture with budget support for using Whatnot as both buyer and sellerParental leave including 16 weeks of paid parental leave plus a gradual return to work over one month, respecting country-specific leave requirementsEqual OpportunityWhatnot is an equal opportunity employer committed to fostering an inclusive environment. We celebrate diversity and are dedicated to creating a workplace where all employees feel valued, respected, and empowered to contribute their unique perspectives. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply and join our team in shaping the future of e-commerce and live shopping experiences.","datePosted":"2026-08-14T15:17:53.622Z","dateModified":"2026-08-14T15:17:53.622Z","hiringOrganization":{"@type":"Organization","name":"Sundayy","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"570314fa4b804ee32c6922d5"},"url":"https://jobsearcher.com/jobs/570314fa4b804ee32c6922d5"}}