Machine Learning Scientist - Remote

Overview

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for a talented machine learning engineer to help us develop the cutting edge search and information retrieval models that power DoorDash's growing retail and grocery business.

In Short

• 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 leveraging ML.
• Mentor junior team members, and lead cross functional pods to generate collective impact.
• Strong command of production level machine learning.
• Passion for solving end-user problems.
• Leadership skills to collaborate well with multi-disciplinary teams.
• Execution focus to prioritize effectively in a dynamic environment.
• 5+ years of industry experience developing machine learning models.
• Deep expertise in applied ML for Search/NLP/IR/RecSys.
• Great communication skills - written and verbal.

Requirements

• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
• Strong machine learning background in Python; experience with PyTorch or TensorFlow preferred.
• Familiarity with Kotlin/Scala are a plus.
• High-energy and confident.
• Adaptable, resilient, and able to thrive in ambiguity.
• Growth-minded and eager to expand your skill set.
• Desire for impact and ready to take on a lot of responsibility.

Benefits

• Comprehensive benefits package including 401(k) plan with employer match.
• Paid time off and paid parental leave.
• Medical, dental, and vision benefits.
• Disability and basic life insurance.
• Mental health program.
• Wellness benefits.
• Paid sick leave in compliance with applicable laws.