Doordash
Staff Machine Learning Engineer - Merchant Tax Categorization Service
Doordash, Sunnyvale, California, United States, 94087
Overview
Staff Machine Learning Engineer - Merchant Tax Categorization Service
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DoorDash . This role focuses on building production ML systems to create accurate tax categorization for billions of items across merchants on the DoorDash platform.
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. About The Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery. We are seeking an experienced machine learning engineer to develop the AI/ML that powers our Merchant solutions. About The Role We’re looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our data and ML infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurant items at DoorDash. You will lead and build a production-level AI/ML solution, collaborate cross-functionally, push the boundaries of LLM capabilities, and help lead the AI product strategy for the team. You’re Excited About This Opportunity Because You Will…
Lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information. Design ML products to solve large-scale categorization problems at transaction level for DoorDash. Partner with engineering and product leaders to shape the product roadmap leveraging AI/ML. Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. Identify new opportunities where AI/ML can enable business growth across new markets and regions. Qualifications
6+ years of industry experience leading and developing advanced machine learning models with business impact, and shipping ML solutions to production. Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models. M.S. or PhD in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields. Ability to communicate technical details to nontechnical stakeholders. Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. Familiarity with Kotlin/Scala. Strong focus on mission, data-driven decision making, and rigorous testing to demonstrate progress and impact. Desire for impact with a growth-minded and collaborative mindset. Compensation and Benefits
Base salary ranges: I4 $137,100—$201,600 USD; I5 $167,800—$246,800 USD; I6 $203,500—$299,300 USD. Salaries are localized by location and may change in the future. Equity opportunities. Details provided by the recruiter. DoorDash benefits: medical, dental, vision, 401(k) with employer match, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, disability and life insurance, family-forming assistance, mental health program, and more. Paid time off details: salaried roles accrue flexible PTO; 80 hours of paid sick time per year. For hourly roles, vacation and sick time accrue per policy. About DoorDash DoorDash empowers local economies by connecting customers with local merchants and Dashers. We are a technology and logistics company committed to helping people get what they want, when they want it, with a focus on growth and well-being for our employees. Equal Opportunity and Non-Discrimination Statement of Non-Discrimination: We hire and cultivate diverse teams and do not discriminate or harass based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability, veteran status, or other protected characteristics. We encourage applicants from women, non-binary or gender non-conforming, LGBTQIA+, Native American or Alaska Native, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled individuals, caretakers, and parents. Pursuant to the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other applicable state or local laws, we consider qualified applicants including those with arrest or conviction records. If you need accommodations, please inform your recruiting contact upon initial connection. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries: Software Development
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Staff Machine Learning Engineer - Merchant Tax Categorization Service
at
DoorDash . This role focuses on building production ML systems to create accurate tax categorization for billions of items across merchants on the DoorDash platform.
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. About The Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery. We are seeking an experienced machine learning engineer to develop the AI/ML that powers our Merchant solutions. About The Role We’re looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our data and ML infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurant items at DoorDash. You will lead and build a production-level AI/ML solution, collaborate cross-functionally, push the boundaries of LLM capabilities, and help lead the AI product strategy for the team. You’re Excited About This Opportunity Because You Will…
Lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information. Design ML products to solve large-scale categorization problems at transaction level for DoorDash. Partner with engineering and product leaders to shape the product roadmap leveraging AI/ML. Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. Identify new opportunities where AI/ML can enable business growth across new markets and regions. Qualifications
6+ years of industry experience leading and developing advanced machine learning models with business impact, and shipping ML solutions to production. Expertise in applied ML for deep learning, NLP, LLM, and multi-modality models. M.S. or PhD in Statistics, Computer Science, Economics, Math, Physics, or other quantitative fields. Ability to communicate technical details to nontechnical stakeholders. Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. Familiarity with Kotlin/Scala. Strong focus on mission, data-driven decision making, and rigorous testing to demonstrate progress and impact. Desire for impact with a growth-minded and collaborative mindset. Compensation and Benefits
Base salary ranges: I4 $137,100—$201,600 USD; I5 $167,800—$246,800 USD; I6 $203,500—$299,300 USD. Salaries are localized by location and may change in the future. Equity opportunities. Details provided by the recruiter. DoorDash benefits: medical, dental, vision, 401(k) with employer match, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, disability and life insurance, family-forming assistance, mental health program, and more. Paid time off details: salaried roles accrue flexible PTO; 80 hours of paid sick time per year. For hourly roles, vacation and sick time accrue per policy. About DoorDash DoorDash empowers local economies by connecting customers with local merchants and Dashers. We are a technology and logistics company committed to helping people get what they want, when they want it, with a focus on growth and well-being for our employees. Equal Opportunity and Non-Discrimination Statement of Non-Discrimination: We hire and cultivate diverse teams and do not discriminate or harass based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability, veteran status, or other protected characteristics. We encourage applicants from women, non-binary or gender non-conforming, LGBTQIA+, Native American or Alaska Native, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled individuals, caretakers, and parents. Pursuant to the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other applicable state or local laws, we consider qualified applicants including those with arrest or conviction records. If you need accommodations, please inform your recruiting contact upon initial connection. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries: Software Development
#J-18808-Ljbffr