Senior Software Engineer, Machine Learning - Consumer ML

Senior Software Engineer, Machine Learning - Consumer ML

San Francisco, CA; Sunnyvale, CA; Seattle, WA

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

About the Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business.

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business.

You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories.

You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid).

You’re excited about this opportunity because you will

• Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.
• Partner with engineering and product leaders to help shape the product roadmap applying ML.
• Mentor junior team members, and lead cross functional pods to create collective impact.

We’re excited about you because you have

• 5+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
• Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore / exploit / MAB algorithms & LLMs is a plus.
• Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
• Ability to communicate technical details to nontechnical stakeholders.
• 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.
• Desire for impact with a growth-minded and collaborative mindset.

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.

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.

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.

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