About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us develop and improve the Dasher Acquisition, Mobilization and Pay systems that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, Dx Supply has a diverse range of exciting and impactful problems to solve at scale and creates a major impact on the company and its businesses.

About the Role

As a Machine Learning Engineer, you will have the opportunity to work deep in the stack in our robust data and machine learning infrastructure to productionize ML-based inference models and optimization programs to power spend allocation across Dx Acquisition (paid media marketing), Dx Mobilization (proactive and reactive incentives) and Dx Pay (base and bonus pay) that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other data scientists, engineers, and product managers to develop and iterate on models to help us grow our business and provide better service quality for our customers.

You’re excited about this opportunity because you will…

• Build Causal ML and Optimization models to automate intelligent spend allocation across Dx supply levers to ensure our roads are always supplied for a fantastic Dasher and Consumer experience while maintaining optimal cost efficiency.
• Build ML prediction models to better forecast Dx actions in high dimensional contexts, which will be used as core inputs into our offline and online supply management systems to positively impact the top-line business metrics.
• Own the model development and productionization end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance. 
• Being exposed to new opportunities where existing supply levers can be platformized and readily extended across new business verticals and geos.
• You can find out more on our ML blog post here.

We’re excited about you because…

• High-energy and confident — 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
• You’re an owner — driven, focused, and quick to take ownership of your work
• Humble — you’re willing to jump in and you’re open to feedback
• Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
• Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Experience

• 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing advanced machine learning models with business impact.
• M.S., or PhD. in Computer Science, Statistics, Operations Research or other related quantitative fields.
• Strong background in machine learning and OSS ML technologies such as Spark, PyTorch, Airflow with hands-on experience in production.
• Demonstrated expertise with programming languages e.g. python and machine learning libraries e.g. LightGBM, Spark MLLib, PyTorch, etc.
• Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, ML Ops, Causal Inference, and Operations Research.
• Experience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques.
• You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA.

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, healthi