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.