Staff Software Engineer, Machine Learning - Personalization

$119,100 - $175,100/Yr

Doordash - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Couriers and Messengers

About the position

The Staff Machine Learning Engineer will play a crucial role in developing and implementing machine learning solutions that enhance the personalization and growth of DoorDash's retail and grocery delivery services. This position involves conceptualizing, designing, and validating algorithmic improvements to create a seamless consumer search experience across various retail categories. The role requires collaboration with multi-disciplinary teams and mentoring junior members, all while leveraging robust data and machine learning infrastructure.

Responsibilities

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

Requirements

• 8+ years of industry experience in 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 fields.
• Expertise in applied ML for Causal Inference and Recommendation Systems, including classical and deep learning methods.
• Familiarity with explore/exploit/MAB algorithms and LLMs is a plus.
• Proficiency in Python for machine learning, with experience in PyTorch or TensorFlow preferred.
• Ability to communicate technical details to non-technical stakeholders.
• A growth-minded and collaborative mindset with a desire for impact.

Nice-to-haves

• Familiarity with explore/exploit/MAB algorithms and LLMs.

Benefits

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