Staff Software Engineer, Machine Learning - Personalization - Remote

Overview

Join DoorDash as a Staff Machine Learning Engineer to develop modern growth and personalization models for their retail and grocery business.

In Short

• Develop production machine learning solutions for personalized shopping experiences.
• Collaborate with engineering and product leaders to shape the product roadmap.
• Mentor junior team members and lead cross-functional teams.
• Utilize robust data and machine learning infrastructure.
• Work in a hybrid environment with both in-office and remote work.
• 8+ years of experience in machine learning.
• M.S. or PhD in a quantitative field.
• Expertise in Causal Inference and Recommendation Systems.
• Experience with Python and machine learning frameworks.
• Strong communication skills for technical details.

Requirements

• 8+ years of industry experience developing machine learning models.
• M.S. or PhD in Statistics, Computer Science, or related field.
• Expertise in applied ML for Causal Inference and Recommendation Systems.
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
• Ability to communicate technical details to nontechnical stakeholders.
• Desire for impact with a growth-minded and collaborative mindset.

Benefits

• Comprehensive benefits package including 401(k) with employer match.
• Paid time off and parental leave.
• Medical, dental, and vision benefits.
• Disability and basic life insurance.
• Mental health program and wellness benefits.