Staff Machine Learning Engineer - Merchant Tax Categorization Service
Description For Staff Machine Learning Engineer - Merchant Tax Categorization Service
DoorDash is seeking a Staff Machine Learning Engineer to join their team and lead the development of AI/ML solutions for merchant tax categorization services. This role is perfect for an experienced ML professional who wants to make a significant impact at a leading technology and logistics company.
The position offers an exciting opportunity to work on cutting-edge ML-driven tax catalog solutions using Generative AI, designing and implementing large-scale categorization systems that process billions of restaurant and non-restaurant items. The role requires a strategic mind who can collaborate with engineering and product leaders to shape the product roadmap while maintaining hands-on involvement in the technical implementation.
As a Staff ML Engineer, you'll own the complete modeling lifecycle, from feature creation to deployment and maintenance. The role combines technical expertise with leadership responsibilities, requiring both deep ML knowledge and the ability to communicate effectively with various stakeholders. The position offers competitive compensation ($203,500 - $299,300) and comprehensive benefits, including healthcare, 401(k) matching, and generous parental leave.
The ideal candidate brings 6+ years of industry experience in developing ML models with proven business impact, expertise in deep learning, NLP, and LLM, and an advanced degree in a quantitative field. They should be proficient in Python and familiar with modern ML frameworks and Kotlin/Scala. This role is perfect for someone who wants to work at the intersection of AI/ML and business impact while helping DoorDash revolutionize last-mile delivery logistics.
Working at DoorDash means joining a fast-growing company that values diversity, inclusion, and employee well-being. The company's mission to empower local economies drives innovation and creates opportunities for meaningful impact. If you're passionate about applying ML to solve real-world problems and want to be part of a team that's transforming the future of delivery, this role offers the perfect blend of technical challenge and business impact.
Responsibilities For Staff Machine Learning Engineer - Merchant Tax Categorization Service
- Lead and develop cutting-edge ML-driven tax catalog solutions using Generative AI
- Design ML products to solve large scale categorization problems at transaction level
- Lead 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
- Explore new opportunities where AI/ML can benefit new business, markets, and regions
Requirements For Staff Machine Learning Engineer - Merchant Tax Categorization Service
- 6+ years of industry experience leading and developing advanced machine learning models
- 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
- Familiarity with Kotlin/Scala
- Growth-minded and collaborative mindset
Benefits For Staff Machine Learning Engineer - Merchant Tax Categorization Service
- 401(k) plan with employer matching
- Flexible vacation plus 80 hours of paid sick time per year
- 16 weeks of paid parental leave
- Wellness benefit
- Commuter benefit match
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
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