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 the AI/ML to power DoorDash growing Merchants. 

About the Role

We’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Mx experience and new merchant’s products, such as menu item tax categorization, inventory prediction, logistic service, catering. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to lead the strategy and and the team to execute.

You’re excited about this opportunity because you will…

• Build Deep Learning models for logistic ETA that provide the most accurate, scalable and robust time prediction.
• Utilize deep learning and NLP to predict item categorization, and computer vision to improve non-restaurant delivery quality.
• Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.
• Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance. 
• Being exposed to new opportunities where AI/ML can be used as a lever that benefits new business, new markets, and new regions.

You can find out more on our ML blog here

We’re excited about you because you have…

• 6+ years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to production. 
• Expertise in applied ML for deep learning, computer vision, NLP. Additional familiarity with experimentation and LLM!  
• M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
• Ability to communicate technical details to nontechnical stakeholders
• Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred. 
• Familiarity with Kotlin/Scala.
• 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
• The desire for impact with a growth-minded and collaborative mindset

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, a