Senior Engineering Manager, Machine Learning

Key Skills

Design, Effective communication skills, Leadership Skill, Machine learning techniques, Project management

Job Description

About the Role

As the Senior Engineering Manager, you will spearhead a team of world-class ML Engineers and Managers, driving the evolution of our products and technologies to serve our customers more effectively and efficiently. You will hold the reins for establishing the vision and mapping the roadmap to elevate our AI technologies, with a focus on enhancing fraud detection, safeguarding customer integrity, refining user experience, and amplifying engagement. By collaborating directly with product, engineering, and operation executives, you will take charge of critical goals that determine the success of our business.

You’re excited about this opportunity because you will…

• Lead and grow a team of exceptional machine learning engineers delivering end-to-end ML solutions
• 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 and managers 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…

• A Master's, or preferably a Ph.D., in Computer Science or a related field.
• A robust industry experience spanning over 10 years.
• A minimum of 5 years of leadership experience, guiding teams to success.
• Comprehensive knowledge of machine learning and a strong foundation in ML modeling.
• Significant experience in building user-centric products and working in close coordination with product managers.
• Exceptional communication skills and the aptitude to collaborate with teams across various disciplines.
• Demonstrated ability to guide and expand an excellent engineering team in a rapidly evolving business environment.
• Preferably, experience leading the successful and scalable applications of machine learning to Natural Language Processing, Fraud Detection, or Trust & Safety.

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.

California Pay Range:

$238,000—$322,000 USD

Washington Pay Range:

$238,000—$322,000 USD