Doordash - San Francisco, CA

posted 3 months ago

Full-time - Senior
Hybrid - San Francisco, CA
Couriers and Messengers

About the position

The Senior Machine Learning Engineer will play a crucial role in developing and implementing machine learning solutions that enhance the growth and personalization experiences for DoorDash's retail and grocery delivery business. 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 a strong command of production-level machine learning.

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

  • 5+ years of industry experience in developing machine learning models with business impact.
  • Expertise in applied machine learning for causal inference and recommendation systems, both classical and deep learning based.
  • Familiarity with explore/exploit/MAB algorithms and LLMs.
  • Proficient in Python with experience in PyTorch or TensorFlow.
  • Familiarity with Kotlin or Scala is a plus.
  • Ability to communicate technical details to non-technical stakeholders.
  • M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

Nice-to-haves

  • Experience with end-user problem solving in machine learning contexts.
  • A growth-minded and collaborative mindset.

Benefits

  • Comprehensive healthcare benefits
  • 401(k) plan with employer match
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Wellbeing benefits
  • Paid time off
  • Paid parental leave
  • Several paid holidays
  • Opportunities for equity grants
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