Engineering Manager, New Business Verticals - Machine Learning at DoorDash USA

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

285000.0

Posted On

18 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Operations Research, Deep Learning, Computer Vision, Forecasting, Time-Series Modeling, Logistics Optimization, Generative AI, Product Management, Team Leadership, Communication Skills, User Engagement, Personalization, Discovery, Recommendation Systems

Industry

Software Development

Description

About the Team DoorDash is seeking an Engineering Manager with an ML/AI background to lead a Machine Learning/Artificial Intelligence team within the New Verticals Machine Learning (NVML) organization. The NVML organization comprises three core teams: Fulfillment, Logistics, and Inventory ML Team: This team focuses on optimizing the matching of orders with capable delivery individuals to ensure high-quality and affordable deliveries using a mix of Operations Research, Deep Learning and classical ML methods. This team also maintains a real-time understanding of in-store item availability employing advanced ML and Computer Vision algorithms. Consumer ML Team: Dedicated to enhancing user engagement and satisfaction through the development of solutions for personalization, discovery, growth, and search. Product Knowledge Graph ML Team: Responsible for creating advanced ML-driven catalog building solutions, significantly utilizing Generative AI to effectively manage and organize product information. As DoorDash expands into new verticals, the complexity and excitement of delivering a high-quality, reliable, and affordable shopping experience increase, presenting extensive opportunities for innovation and impact. About the Role As a Machine Learning Engineering Manager, you will lead a team of world-class ML engineers in the Fulfillment, Logistics and Inventory ML Team. Your leadership will be crucial in redefining the local e-commerce landscape through advanced ML/AI methodologies. You’re excited about this opportunity because you will… Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches Leverage cutting edge Operations Research, Forecasting and Time-series modeling techniques, Last Mile Logistics Optimization, Computer Vision, and a blend of Classical ML with Generative AI to solve real consumer problems Work with Product, Design, and Business stakeholders 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 Operations Research and 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 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 to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $193,800—$285,000 USD 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.

Responsibilities

Lead a team of machine learning engineers to deliver end-to-end product features using advanced ML/AI methodologies. Collaborate with various stakeholders to define the roadmap and vision for the team, encouraging innovation and high engineering standards.