Software Engineer, Machine Learning

San Francisco, CA; Mountain View, CA

Applications have closed

DoorDash

When you join our team, you join our dream: to grow and empower local economies. We’re focused on improvement—from moving faster to leveling up the quality of our product—and our work is never complete. If you’re looking to define your career...

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Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

At DoorDash, our machine learning engineers have the opportunity to dive into a wealth of delivery data and solve physical world challenges through machine learning. They're helping build the next iteration of our recommendation engine - read about it here!

You're excited about this opportunity because you will...
  • Predict preparation ambiguity for over 50,000 merchant partners
  • Compute real time vehicle routing challenges in major metropolitan areas, ultimately to assign dashers who arrive at desired locations with little to no lag/latency
  • Forecast the supply of available dashers as well as incoming delivery demand
  • Iterate and improve our query understanding, search relevance, recommendation and ranking algorithms to deliver a personalized experience
  • Optimize pricing structure and algorithm to fuel the growth of business
  • Collaborate with other engineers, data scientists, and teammates across the product and business organizations
We're excited about you because you have...
  • B.S., M.S., or PhD. in Computer Science or equivalent
  • Exceptionally strong knowledge of CS fundamental concepts and OOP languages
  • 4+ years of industry experience
  • Prior experience building machine learning systems in production
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.

Tags: Computer Science Excel Machine Learning OOP PhD

Perks/benefits: Career development Parental leave Wellness

Region: North America
Country: United States
Job stats:  2  0  0

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