Machine Learning Scientist - ETA & Routing

Key Skills

Apache Airflow, Deep Learning, LightGBM, Machine learning techniques, Optimization, Python Programming, PyTorch, Reinforcement Learning, Spark Core

Job Description

As a Data Scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization ETA and Routing models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other data scientists, engineers, analysts, 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 Deep Learning models for next-generation ETA that provide the most accurate, scalable and robust time predictions and enhance the consumer experience.
• Build Machine Learning models in the routing space, which can be used as the single source of truth across internal teams to positively impact the top-line business metrics.
• Own the modeling life cycle end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance. 
• Being exposed to new opportunities where ETA/Routing can be used as a lever that benefits new business, new markets, and new regions.
• You can find out more on our ML blog posthere.

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, or other related quantitative fields.
• Strong background in Deep 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 2 or more of the following: Deep Learning, Reinforcement Learning, Operations Research, and Forecasting.
• 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, Los Angeles, CA, Seattle, WA, or New York, NY

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.