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 lead their Merchant Tax Categorization Service initiative. This role combines advanced ML expertise with practical business impact, focusing on developing AI/ML solutions to manage tax categorization for billions of items across restaurants and non-restaurant merchants. The position requires deep expertise in machine learning, particularly in areas like NLP, LLM, and multi-modality models. As a staff engineer, you'll lead the development of cutting-edge ML solutions, collaborate with cross-functional teams, and drive AI product strategy. The role offers competitive compensation ($203,500-$299,300), comprehensive benefits, and the opportunity to work at a rapidly growing technology company that's transforming local economies. DoorDash provides a collaborative environment where you can make significant impact while working with state-of-the-art ML technologies. The position is available in major tech hubs including San Francisco, Sunnyvale, Seattle, and New York, offering flexibility in location while maintaining a strong focus on innovation and technical excellence.
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
- Lead with engineering and product leaders to shape the product roadmap
- Own the modeling life cycle end-to-end
- Identify 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
- Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow
- Familiarity with Kotlin/Scala
- Ability to communicate technical details to nontechnical stakeholders
Benefits For Staff Machine Learning Engineer - Merchant Tax Categorization Service
- Comprehensive medical, dental, and vision benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefit
- Commuter benefit match
- Mental health program
- Flexible vacation plus 80 hours of paid sick time per year
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
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