Staff Software Engineer, Machine Learning - Fraud

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The Risk 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!

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We’re looking for a passionate Technical Leader in Machine Learning Engineering to join our team. As a Staff Machine Learning Engineer, you will be a trusted advisor to both your manager and peers, extending your influence across teams within and beyond your area of expertise. You will play a pivotal role in shaping the team’s roadmaps, adeptly managing ambiguity, identifying opportunities, and translating them into clear objectives. You will be accountable for the formation and delivery of the team’s OKRs.

You will drive significant impact through a combination of direct contributions and by amplifying the capabilities of your team. You’ll be conceptualizing, designing, implementing, and validating algorithmic solutions to prevent, detect and mitigate risks in Fraud as well as Trust and Safety. 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 focus on eliminating single points of failure, including yourself, and work to uplift the skills and effectiveness of your team members. You will set and uphold the highest standards of engineering excellence, consistently identifying areas for improvement and fostering a culture of continuous growth.

You will report to the engineering manager on our Risk Machine Learning team in our Operation Excellence organization.

Le entusiasma esta oportunidad porque...

• Drive the long-term technical ML/AI vision in Fraud, an area that serves as one of the most critical components of the overall DoorDash business
• Develop State of the Art Machine Learning solutions
• Partner with engineering and product leaders to shape the product roadmap
• Mentor team members, and lead cross functional pods to create collective impact

You can find out more on our ML blog here

Estamos entusiasmados contigo porque tienes... 

• Experience leading a team of MLEs in solving hard problems
• 7+ years of industry experience developing machine learning models and shipping ML solutions to production.
• Domain expertise in training deep neural nets, such as transformers and multi-task learning models. Proficiency in least one deep learning framework, for example PyTorch, TensorFlow
• 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 LLMs and anomaly detection
• (Nice to have) Fraud domain knowledge

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