Staff Machine Learning Engineer - Merchant Tax Categorization Service

$201,900 - $302,900/Yr

Doordash - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

Couriers and Messengers

About the position

Come help us build the world's most reliable on-demand logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash's growing Merchants. In this role, you will utilize our robust data and machine learning infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restaurants items at DoorDash. You will be expected to lead and build a production-level AI/ML solution, collaborate cross-functionally, and push the boundaries of LLM capabilities and lead the AI product strategy for the team to execute. You will lead and develop cutting-edge ML-driven tax catalog solutions, utilizing Generative AI to efficiently manage and organize tax categorization information. Your responsibilities will include designing ML products to solve large scale categorization problems at the transaction level for DoorDash. You will work closely with engineering and product leaders to shape the product roadmap leveraging AI/ML. Additionally, you will own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. This role will expose you to new opportunities where AI/ML can be used as a lever that benefits new business, new markets, and new regions.

Responsibilities

• Lead and develop cutting-edge ML-driven tax catalog solutions utilizing Generative AI.
• Design ML products to solve large scale categorization problems at the transaction level for DoorDash.
• Collaborate 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 be leveraged to benefit new business, new markets, and new regions.

Requirements

• 6+ years of industry experience leading and developing advanced machine learning models with business impact.
• 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.

Nice-to-haves

• Experience with Generative AI technologies.
• Proven track record of shipping ML solutions to production.
• Strong analytical and problem-solving skills.

Benefits

• Comprehensive healthcare benefits.
• 401(k) plan including employer match.
• Short-term and long-term disability coverage.
• Basic life insurance.
• Wellbeing benefits.
• Paid time off and paid parental leave.
• Several paid holidays.
• Opportunities for equity grants.