Taro Logo

Staff Machine Learning Engineer

DoorDash is a technology and logistics company that started with door-to-door delivery, now expanding to deliver any and all goods.
$171,600 - $252,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Logistics · E-Commerce
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Staff Machine Learning Engineer

DoorDash is seeking a passionate Staff Machine Learning Engineer to join their Personalization team. This role involves developing production machine learning solutions to build a world-class personalized shopping experience for a diverse and expanding retail space. The ideal candidate will have 8+ years of industry experience in developing ML models with business impact, an advanced degree in a quantitative field, and expertise in applied ML for Causal Inference and Recommendation Systems.

Key responsibilities include:

  • Conceptualizing, designing, implementing, and validating algorithmic improvements for growth and personalization experiences in DoorDash's grocery and retail delivery business.
  • Using robust data and ML infrastructure to implement new ML solutions for more relevant, seamless, and delightful consumer search experiences across various retail categories.
  • Partnering with engineering and product leaders to shape the product roadmap applying ML.
  • Mentoring junior team members and leading cross-functional pods to create collective impact.

The role offers opportunities for equity grants and a comprehensive benefits package. DoorDash values diversity and inclusion, encouraging applications from individuals of all backgrounds. The position is hybrid, allowing for both in-office and remote work.

If you're passionate about applied machine learning, have a strong command of production-level ML, experience solving end-user problems, and collaborate well with multi-disciplinary teams, this could be an exciting opportunity to make a significant impact in the fast-growing world of on-demand retail and grocery delivery.

Last updated 8 months ago

Responsibilities For Staff Machine Learning Engineer

  • Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space
  • Partner with engineering and product leaders to help shape the product roadmap applying ML
  • Mentor junior team members, and lead cross functional pods to create collective impact

Requirements For Staff Machine Learning Engineer

Python
  • 8+ years of industry experience 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 field
  • Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based
  • 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 For Staff Machine Learning Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
Equity
  • Equity grants
  • 401(k) plan with employer match
  • Paid time off
  • Paid parental leave
  • Wellness benefits
  • Medical, dental, and vision benefits
  • Disability and basic life insurance
  • Family-forming assistance
  • Commuter benefit match
  • Mental health program

Interested in this job?