ML Engineer, Marketplace Optimization — Equity Eligible

DoorDash

Sunnyvale (CA)

On-site

USD 137,100 - 201,600

Full time

14 days+

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Benefits offered by this job

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness and commuter benefits
Medical, dental, and vision benefits
Paid time off and sick leave

Job summary

DoorDash is hiring a Machine Learning Engineer in Sunnyvale, California. This role involves designing, building, and optimizing large-scale ML systems within the Ads Delivery funnel. Candidates should have a strong background in machine learning and programming, as well as experience with ML frameworks like TensorFlow and PyTorch. The position offers competitive compensation, equity grants, and a comprehensive benefits package including health insurance, paid parental leave, and a 401(k) plan. Join DoorDash to shape the future of the advertising marketplace.

Qualifications

  • Experience in building or maintaining machine learning systems in production.
  • Strong programming skills with proficiency in Python, Java, or C++.
  • Solid understanding of machine learning fundamentals and statistics.

Responsibilities

  • Design, build, and deploy ML models for optimization.
  • Collaborate with cross-functional teams.
  • Drive experimentation and analyze models’ impacts.

Skills

Machine Learning
Python
Collaboration
Data Modeling
Experimentation

Education

B.S., M.S. or Ph.D. in Computer Science or related field

Tools

TensorFlow
PyTorch
XGBoost

Job description

DoorDash is hiring a Machine Learning Engineer in Sunnyvale, California. This role involves designing, building, and optimizing large-scale ML systems within the Ads Delivery funnel. Candidates should have a strong background in machine learning and programming, as well as experience with ML frameworks like TensorFlow and PyTorch. The position offers competitive compensation, equity grants, and a comprehensive benefits package including health insurance, paid parental leave, and a 401(k) plan. Join DoorDash to shape the future of the advertising marketplace.
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