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**Machine Learning Platform Director**

2 months ago


San Francisco, California, United States DoorDash Full time
About the Role

We are seeking an experienced Engineering Leader to join our team as a Director, Machine Learning Platform. The ideal candidate will have a strong background in machine learning and experience leading high-performing teams.

Key Responsibilities
  • Develop and execute a vision for the Machine Learning Platform, driving it from good to great.
  • Bring expertise in building and operating high-scale systems with a focus on reliability and quality.
  • Manage and operate state-of-the-art ML models in production, including classic ML and DNNs, Large Language Models/GenAI.
  • Hire and manage a well-run, successful team via coaching, mentoring, and providing technical and career guidance.
  • Build, sustain, and grow a diverse team to address the growing needs of the organization.
  • Collaborate with stakeholders to build solutions on top of the platform.
  • Create and foster a positive and supportive work culture.
Requirements
  • 10+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
  • Curiosity about and interests in deep learning and fine-tuning.
  • Familiarity and experience with Spark, PyTorch, or TensorFlow, and similar ML frameworks and libraries.
  • Location: San Francisco, Sunnyvale, or Seattle.
  • M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plus.
  • Familiarity with Distributed Systems and Infrastructure, using a Cloud provider such as AWS/GCP or Azure, is a great advantage.
What We Offer

At DoorDash, we offer a comprehensive benefits package, including healthcare benefits, a 401(k) plan with an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

The location-specific base salary range for this position is $259,600 — $350,000 USD.