DoorDash · 17 hours ago
Software Engineer, Machine Learning Infrastructure
Sunnyvale, CA
Full-time
Hybrid
Senior Level
$131K/yr - $192K/yr
6+ years expDoorDash is a technology and logistics company focused on empowering local economies through efficient delivery systems. They are seeking a Software Engineer for Machine Learning Infrastructure to build and maintain a world-class ML platform that supports various business functions and enhances machine learning workflows.
AppsDeliveryE-Commerce PlatformsFood DeliveryOnline Portals
Responsibilities
Build a world-class ML platform where models are developed, trained, and deployed seamlessly
Work closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases
You will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches
You will work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a day
You will help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business
Improve the reliability, scalability, and observability of our training and inference infrastructure
Qualification
Required
B.S., M.S., or PhD. in Computer Science or equivalent
Exceptionally strong knowledge of CS fundamental concepts and OOP languages
6+ years of industry experience in software engineering
Prior experience building machine learning systems in production such as enabling data analytics at scale
Prior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of concepts
Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems
Preferred
Experience with challenges in real-time computing
Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure
Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow
Familiar with Spark, MLLib, Databricks, MLFlow, Apache Airflow, Dagster and similar related technologies
Familiar with large language models like GPT, LLAMA, BERT, or Transformer-based architectures
Familiar with a cloud based environment such as AWS
Benefits
401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave in compliance with applicable laws
Medical, dental, and vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program
Company
DoorDash
DoorDash is a food delivery platform that connects customers with local and national businesses. It is a sub-organization of DoorDash.
10001+ employees
H1B Sponsorship
DoorDash has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (530)
2024 (510)
2023 (413)
2022 (612)
2021 (439)
2020 (126)
Funding
Current Stage
Public CompanyTotal Funding
$5.22BKey Investors
Durable Capital PartnersT. Rowe PriceDarsana Capital Partners
2025-05-27Post Ipo Debt· $2.75B
2020-12-09IPO
2020-06-11Series H· $400M
Leadership Team
Tony Xu
CEO and Co-founder
Stanley Tang
Co-Founder / Chief Product Officer
Recent News
Business Insider
2026-01-07
2026-01-07
Deli Market News
2026-01-07
Company data provided by crunchbase