AI-Driven Personalization Expert
4 weeks ago
We are seeking a seasoned Applied Machine Learning expert to join our team as a Senior Machine Learning Engineer. As a key member of our Personalization team, you will be responsible for conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business.
You will leverage our robust data and machine learning infrastructure to develop modern growth and personalization models that power DoorDash's growing retail and grocery business. Your expertise in production-level machine learning, solving end-user problems, and collaboration with multi-disciplinary teams will drive success in this role.
Your Key Responsibilities- 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.
- 5+ 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 fields.
- Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.
- Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
- Ability to communicate technical details to non-technical stakeholders.
- You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress, and then double down.
- Desire for impact with a growth-minded and collaborative mindset.
Estimated salary: $250,000 - $350,000 per year. This estimate is based on national averages for similar roles in the United States.
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