Senior Software Engineer, Machine Learning - Consumer ML

Doordash - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Couriers and Messengers

About the position

The Senior Software Engineer, Machine Learning position at DoorDash focuses on developing machine learning solutions to enhance the personalization and growth of the company's retail and grocery delivery services. The role involves conceptualizing, designing, implementing, and validating algorithmic improvements to create a seamless consumer search experience. The engineer will leverage robust data and machine learning infrastructure to deliver impactful solutions while collaborating with cross-functional teams.

Responsibilities

• Develop production machine learning solutions for personalized shopping experiences.
• Partner with engineering and product leaders to shape the product roadmap in ML.
• Mentor junior team members and lead cross-functional pods to create collective impact.

Requirements

• 5+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
• M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
• Expertise in applied ML for Causal Inference and Recommendation Systems, both classical and deep learning based.
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
• Ability to communicate technical details to non-technical stakeholders.

Nice-to-haves

• Familiarity with explore/exploit/MAB algorithms & LLMs is a plus.
• Desire for impact with a growth-minded and collaborative mindset.

Benefits

• 401(k) plan with employer match
• Paid time off
• Paid parental leave
• Wellness benefits
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Commuter benefit match
• Mental health program
• Paid holidays