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Senior Machine Learning Engineer - Fraud

DoorDash
San Francisco, United Statesfull_timeVerifiedPosted 13 Sept 2023
💰 $238,000/yr($176,000/yr$238,000/yr)

About the role

About the Team

The Fraud Machine Learning team builds cutting edge models that play central roles in our important anti-fraud systems. We operate at a massive scale, risking billions of events across 20+ countries. We are looking for ML experts who can help us push the technology boundaries and make DoorDash the world’s most safe logistics engine!

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 solutions to prevent, detect and mitigate fraud. You are excited about opportunities to introduce step function changes to our risking system. You will demonstrate a command of production level machine learning, experience solving end-user problems, and collaborate well with multi-disciplinary teams.

You will report into the engineering manager on our Fraud Machine Learning team in our Operation Excellence organization. Once our offices reopen, we expect this role to be hybrid with some time in-office and some time remote.

You’re excited about this opportunity because you will…

  • Develop production machine learning solutions to build a safe and frictionless 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

You can find out more on our ML blog here

We're excited about you because have… 

  • 3+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
  • Experience with PyTorch or TensorFlow or similar deep learning framework.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Bioinformatics, Economics, or other quantitative fields
  • Familiarity with a JVM language (Kotlin/Scala)
  • Familiarity with multi-task learning, LLMs and anomaly detection
  • Fraud domain knowledge

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, incl

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Company

DoorDash

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