About the Team

Come help us build the world's most reliable on-demand logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us build the Dasher Acquisition, Mobilization, and Pay systems that power DoorDash's three-sided marketplace of Consumers, Merchants, and Dashers. The Dasher Supply team works to ensure that Doordash is a profitable and reliable way for Dashers to earn money and that the right number of dashers are active at every moment for successful delivery experiences for Consumers and Merchants.

About the Role

As a Machine Learning Engineer, you will work with our robust data and machine learning infrastructure to deploy MLmodels and optimization programs. Tackling Doordash’s most challenging business problems, our models power spend allocation across Dasher Acquisition (paid media marketing), Dasher Mobilization (proactive and reactive incentives) and Dasher Pay (base and bonus pay)  . You will work with other data scientists, engineers, and product managers to develop and iterate on models to help us grow our business and provide better service quality for our customers.

You’re excited about this opportunity because you will… Use Causal ML and Optimization techniques to automate spend allocation across Dasher supply levers to ensure our roads are well supplied for a fantastic Dasher and Consumer experience. Build ML models to better forecast Dasher actions in high dimensional contexts, which will serve as core inputs to our offline and online supply management systems. Have end-to-end ownership of model ideation, development, testing, deployment, and maintenance.   Get a chance to platformize existing supply levers across new business verticals and geographies. Be able to measure your business impact through rapid experimentation, making complex tradeoffs to balance different sides of the marketplace. Work on complex systems, like those described in this blog post written by your future teammates. We’re excited about you because you’re… High-energy and confident — 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 An owner — driven, focused, and quick to take ownership of your work Humble — you’re willing to jump in and you’re open to feedback Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting Impact oriented — ready to take on a lot of responsibility and work collaboratively with your team Experience 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing advanced machine learning models with business impact. M.S., or PhD. in Computer Science, Statistics, Operations Research or other related quantitative fields. Strong background in machine learning and OSS ML technologies such as Spark, PyTorch, Airflow with hands-on experience in production. Demonstrated expertise with programming languages and machine learning libraries e.g. LightGBM, Spark MLLib, PyTorch, etc. Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, ML Ops, Causal Inference, and Operations Research. Experience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques. You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA.

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.

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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.

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 about our benefits, visit our careers page here.

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington. 

I4$119,100—$175,100 USDI5$145,000—$213,200 USDI6$171,600—$252,400 USDAbout 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.

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