Software Engineer, DoorDash
Machine Learning Infrastructure
$176-238k
Local food delivery platform
Job no longer available
Local food delivery platform
1001+ employees
Job no longer available
$176-238k
1001+ employees
Company mission
To empower local economies by connecting food lovers with great local restaurants
Role
Who you are
- B.S., M.S., or PhD. in Computer Science or equivalent
- Exceptionally strong knowledge of CS fundamental concepts and OOP languages
- 4+ 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
Desirable
- 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
What the job involves
- 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
Our take
DoorDash was an early entrant into the last-mile restaurant delivery business, which is now crowded with the likes of Uber Eats, Postmates and GrubHub. They offer restaurants an end-to-end delivery platform, generating new business and access to a network of delivery drivers.
To differentiate itself in the market, DoorDash focused on areas with fewer competitors and found success in this untapped market. Other factors, such as the company's targeting of restaurants which many not typically offer a delivery service, also contribute to its profitability. The company made its stock market debut in 2020 with one of the biggest IPOs of the year.
However, in light of increasing discontent around DoorDash's commission structure from restaurants, competition remains fierce. The business recently responded by publishing a transparent fee structure, but the number of options open to restaurants means DoorDash must fight to keep its customers loyal. Despite this, by focusing on consumer retention, logistics and technology, the company is likely able to maintain its existing growth and revenue.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2020
$400m
SERIES H
Nov 2019
$100m
SERIES G
Total funding: $2.5bn
Company benefits
- Company stock options
- Work from home stipend
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
Mid-Market, San Francisco, CA
Leadership
Tony Xu
(CEO)Tony studied at UCB and worked as a Matrix Partners Associate while studying for an MBA at Stanford. He combined this experience to co-found DoorDash in January 2013, and has served as CEO since June 2013.
Stanley Tang
(CPO)Previously studied Computer Science at Stanford, before working at Facebook as a Software Engineer.
Salary benchmarks
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