Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
DoorDash is seeking a Senior Machine Learning Engineer to join their New Verticals Consumer ML team. This role focuses on developing modern growth and personalization models for DoorDash's expanding retail and grocery business. The position involves conceptualizing, designing, and implementing algorithmic improvements to enhance the consumer search experience across various retail categories.
The ideal candidate will work on production-level machine learning solutions, particularly in areas of Causal Inference and Recommendation Systems. They'll utilize DoorDash's robust data and ML infrastructure to create more relevant, seamless, and delightful experiences for users. The role requires both technical expertise and leadership skills, as the engineer will mentor junior team members and lead cross-functional teams.
DoorDash offers a comprehensive benefits package including healthcare, 401(k) with employer match, paid time off, and various wellness benefits. The company strongly values diversity and inclusion, maintaining a workplace free from discrimination. The position offers competitive compensation with base salary ranges from $137,100 to $299,300 USD, depending on level and location.
This hybrid role combines the excitement of working on cutting-edge ML solutions with the opportunity to directly impact DoorDash's mission of empowering local economies. The successful candidate will join a dynamic environment where they can shape the future of retail delivery through innovative machine learning applications.
Responsibilities For Senior Machine Learning Engineer
- Develop production machine learning solutions for personalized shopping experience
- Partner with engineering and product leaders to shape the product roadmap
- Mentor junior team members
- Lead cross functional pods to create collective impact
- Implement new ML solutions for consumer search experience
Requirements For Senior Machine Learning Engineer
- 5+ years of industry experience developing machine learning models with business impact
- Expertise in applied ML for Causal Inference and Recommendation Systems
- Machine learning background in Python; experience with PyTorch or TensorFlow preferred
- Familiarity with Kotlin/Scala
- Ability to communicate technical details to nontechnical stakeholders
- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields
- Growth-minded and collaborative mindset
Benefits For Senior Machine Learning Engineer
- 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
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