Company

DoordashSee more

addressAddressSan Francisco, CA
type Form of workFull-Time
CategoryInformation Technology

Job description

About the Team

DoorDash is looking for an Engineering Manager with an ML background to lead the Voice Ordering AI team. Voice is the fastest growing business in DoorDash history. This team is responsible for helping our merchants optimize their 1st party channel by increasing phone order conversion and in-store efficiency - we are building on the latest technologies in generative AI to innovate in this space.

Our Voice AI team is a part of our Merchant engineering org, responsible for empowering local businesses to connect with consumers - enabling frictionless onboarding, reliable ordering, and increased business insights to help grow sales. We provide the suite of services for merchants to efficiently manage and grow their businesses.

About the Role

DoorDash is looking for an Engineering Manager with strong machine learning algorithm knowledge to oversee the Voice AI team. Your team will span backend and ML engineers and will work across multiple platforms to build the end-to-end AI ordering system. You will partner with Product and Operations leads to create a vision and roadmap to help merchants propel their businesses to new heights. 

You're excited about this opportunity because you will...
  • Build an end-to-end large-scale generative AI application
  • Lead and grow a team of exceptional machine learning and backend engineers, delivering end-to-end large scale systems, leveraging cutting-edge NLP and LLM technologies
  • Collaborate with Product, Design, & Operations teams to define and execute on the roadmap and vision for the team
  • Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking
  • Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team
We're excited about you because you have... 
  • BS, M.S., or PhD. in Computer Science, Language Technologies, or related quantitative field
  • 2+ years of experience in people management leading learning teams of 5+ engineers
  • 7+ years of industry experience as an SDE or MLE in an iterative, product-focused development environment
  • Experience with distributed system design, system scaling, and performance optimization
  • Hands-on leadership and strong interest in 0-1 innovation
  • Humility - willing to get into the details and open to feedback
  • Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
  • Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve
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.

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.

Refer code: 8645889. Doordash - The previous day - 2024-03-20 08:59

Doordash

San Francisco, CA
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