Machine Learning Engineer, Computer Vision
DoorDashHighlight
Summary
About the Role
About You
- Industry experience developing machine learning models with business impact and shipping ML solutions to production.
- Deep expertise in applied Computer Vision, with hands-on experience in object detection, classification, and segmentation.
- Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Spark.
- Must be located near one of the engineering hubs: San Francisco, Sunnyvale, Los Angeles, Seattle, or New York.
- M.S. or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.
- Familiarity with causal inference and experimentation techniques.
Benefits
- Comprehensive benefits package including medical, dental, and vision coverage.
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Flexible paid time off and paid sick leave.
- Wellness benefits and commuter benefits match.
- 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program.
At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.