Senior Software Engineer, Machine Learning - Personalization & Growth

$119,100 - $175,100/Yr

Doordash - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Couriers and Messengers

About the position

The Senior Machine Learning Scientist role at DoorDash focuses on developing advanced machine learning solutions to enhance the search and personalization experiences within the retail and grocery delivery sectors. This position requires a strong background in applied machine learning, particularly in search, natural language processing, and information retrieval, to create a seamless and relevant consumer experience. The role involves collaboration with engineering and product teams, mentoring junior members, and leveraging robust data infrastructure to implement impactful ML solutions.

Responsibilities

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

Requirements

• 5+ 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 machine learning for Search/NLP/IR/Product Knowledge Graph, including classical and deep learning methods.
• Familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques.
• Proficient in Python for machine learning, with experience in PyTorch or TensorFlow preferred.
• Familiarity with Kotlin/Scala is a plus.
• Ability to communicate technical details to non-technical stakeholders.

Nice-to-haves

• Experience with causal inference techniques.
• Familiarity with additional programming languages or frameworks related to machine learning.

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