About the Team

DoorDash is looking for an Engineering Manager with a ML background to lead the Search Quality engineering team. This team is responsible for the quality of the overall Search results on Doordash and the various layers of multi-stage ranking, and multi-modal retrieval and query understanding enabling it. 

Our Search Quality team is a part of our Core Consumer org which owns the top of the conversion funnel from the initial landing page all the way to checkout across iOS, Android, and Web platforms. Quality is at the center of the Search teams’ mission. With a universal Search bar on the home page, as Doordash expands into new verticals like Grocery, the challenge of helping consumers easily find what they want grows exponentially, so the opportunity is massive! 

About the Role

You will lead a team of world-class ML engineers redefining the search experience through cutting edge approaches to query and document understanding, multi-modal and multi-stage ranking and strategic optimization .

You’re excited about this opportunity because you will…

• Lead and grow a team of exceptional machine learning engineers delivering on end-to-end search quality with state of the art ML approaches
• Leverage cutting edge LLM and Deep Learning (GNN, MTL, Transformers) to augment the DoorDash Search stack
• Work with Product, Design, and Business stakeholders directly across DoorDash to define the roadmap and vision for the team and deliver immense impact
• Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking and teamwork
• Build an outstanding team by coaching and empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards
• Scale the team by developing internal, and attracting top external talent

We’re excited about you because you have… 

• B.S., M.S., or PhD. in Computer Science or equivalent
• 7+ years of industry experience
• Minimum of 2 years of leadership experience
• Broad knowledge of machine learning with strong ML modeling foundation
• Extensive experience in building user-facing product and working directly with product managers
• Strong communication skills and the ability to partner with teams spanning many disciplines
• Ability to guide and grow an excellent engineering team in a rapidly changing business environment
• Experience in leading successful application of machine learning to ranking and recommendation real-world problems is preferred

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.