About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting edge search and information retrieval models that power DoorDash's growing retail and grocery business.

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Scientist, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast growing grocery and retail delivery business.  In this role, you will leverage our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will be expected to demonstrate a strong command of production level machine learning,  a passion for solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our New Verticals Consumer ML team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).

 You’re excited about this opportunity because you will…

• 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 leveraging ML. 
• Mentor junior team members, and lead cross functional pods to generate collective impact.   

You can find out more on our ML blog here

We’re excited about you because you have…

• 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 field
• Expertise in applied ML for Search/NLP/IR/Product Knowledge Graph  -  both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques  
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred. 
• Familiarity with Kotlin/Scala 
• Ability to communicate technical details to nontechnical 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.  Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Paid sick leave in compliance with applicable laws (i.e. Colorado Healthy Families and Workplaces Act).

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others. 

To learn more