Senior Software Engineer, Machine Learning - Consumer ML at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

• Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space
• Partner with engineering and product leaders to help shape the product roadmap applying ML
• Mentor junior team members, and lead cross functional pods to create collective impact
• Conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences
• Use robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories

Required Qualifications

• 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 nontechnical stakeholders
• You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
• Desire for impact with a growth-minded and collaborative mindset

Key Skills

• Machine learning models development
• Shipping ML solutions to production
• Applied ML for Causal Inference and Recommendation Systems (classical and deep learning)
• Python for machine learning
• PyTorch or TensorFlow
• Communication of technical details to nontechnical stakeholders
• Data-driven decision making and rigorous testing
• Collaboration and growth-minded mindset

Preferred Qualifications

• Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.

DoorDash Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program

Salary Range

$1,37,100 - $2,99,300 USD annually

Job Summary

About the Team

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 modern growth and personalization models that power DoorDash's growing retail and grocery business.

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business.  You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer s...

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