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 AI/ML to power DoorDash growing Merchants. 

About the Role

You will be leading a team of world-class engineers in Machine Learning science, redefining Merchant experience through cutting edge approaches, and providing a consistent, personalized experience to our merchants, no matter where they sit on their journey with us.

In this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Merchant experience and build new merchant’s products, such as deep learning based logistic service for restaurants and non-restaurants, AI solutions to make our catering product successful, menu item tax categorization, expanding our merchant selection on DoorDash. You will partner cross functionally to set the strategies that help us grow our business and lead efforts to execute those strategies.

You’re excited about this opportunity because you will…

• Lead the effort for Merchant machine learning: Applying supervised, semi-supervised, LLM, Deep Learning, Multi-modality AI to improve or Merchant experience and build new merchant’s products
• Lead the team to build AI powered products for restaurants onboarding, build logistic ETA that provides the most accurate and robust time prediction for non-restaurants DoorDash logistics service, improve tax categorization prediction. 
• Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.
• Lead a team to implement end to end ML products, and ship both real time and batch production models via experimentation. 
• Find and propose new ways to drive business impact and solve complex problems through state of the art ML and GenAI
• Hire, grow and mentor a talented team of Machine Learning Scientists 

You can find out more on our ML blog here

We’re excited about you because you have…

• 2+ years of being a team lead and tech lead role on big machine learning systems
• 6+ years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to production. 
• Deep familiarity with applied ML systems, such as deep learning, computer vision, NLP, causal inference recommendation, LLM
• Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, and causal inference
• Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
• Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-growing business and you’ll need to be able to keep up!
• You’re an owner — driven, focused, and quick to take ownership of your work
• High-energy and confident — you keep the mission in mind, initiate ideas and help them grow, show evidence of progress and then double down
• M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. 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. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. 

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Compensation

The location-specific base salary range for this position is listed below.  Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.  For roles that are available to be filled remotely, base salary is localized according to employee work location.  Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

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. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023.

Please see the independent bias audit report covering our use of Covey here.