Staff Machine Learning Engineer
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.
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
- 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
- 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
Jobs Related To DoorDash Staff Machine Learning Engineer
