Machine Learning Engineer

Join DoorDash's Data Science and ML Engineering team to build and maintain a world-class ML platform powering the company's three-sided marketplace. You'll work on creating seamless model development, training, and deployment systems, evolving the ML platform for various use cases, and building high-performance pipelines to handle trillions of feature values and billions of daily predictions. This role offers the opportunity to work on critical infrastructure designs, improve reliability and scalability, and drive the direction of DoorDash's centralized machine learning platform.

Key responsibilities include:

• Building a world-class ML platform for seamless model development, training, and deployment
• Collaborating with Data Scientists and Product Engineers to evolve the ML platform
• Designing high-performance, flexible pipelines for rapid technology evolution
• Working on infrastructure solutions for massive-scale feature storage and predictions
• Improving reliability, scalability, and observability of training and inference infrastructure

Requirements:

• B.S., M.S., or Ph.D. in Computer Science or equivalent
• Strong knowledge of CS fundamentals and OOP languages
• 4+ years of industry experience in software engineering
• Experience building machine learning systems in production
• Practical experience in developing and deploying ML models
• Systems engineering experience, particularly in cloud computing environments

Nice-to-have skills:

• Experience with real-time computing challenges
• Familiarity with large-scale distributed systems and data processing pipelines
• Knowledge of Python ML libraries, deep learning frameworks, and data processing tools
• Experience with cloud environments like AWS
• Familiarity with large language models and Transformer-based architectures

DoorDash offers a comprehensive benefits package, including a 401(k) plan with employer match, paid time off, parental leave, wellness benefits, and medical, dental, and vision coverage for full-time employees. The company is committed to diversity, inclusion, and empowering local economies through its mission and values.