Autonomy Engineer, DoorDash
Behavior Prediction
$176-238k
+ Equity
Local food delivery platform
Job no longer available
Local food delivery platform
1001+ employees
Job no longer available
$176-238k
+ Equity
1001+ employees
Company mission
To empower local economies by connecting food lovers with great local restaurants
Role
Who you are
- Experience in at least one of the following: graph algorithms, optimization, probabilistic robotics (POMDP), computational geometry
- Experience in at least one of the following: computer vision, lidar data processing
- In-depth knowledge of data structures and advanced algorithms
- Strong C++ experience
- Industry experience designing, implementing and extending algorithms
- MS/PhD degree in Computer Science, Robotics, or related technical field
- Nice to have experience includes:
- Experience with machine learning techniques applied to behavior prediction, perception or motion planning
- Experience developing robotic system evaluation
- Prior experience in the self-driving vehicle space
What the job involves
- We’re hiring a behavior prediction engineer in our autonomy software team
- In this role, you’ll work with multiple stakeholders including Product, Engineering (hardware and software), and Operations to develop our behavior prediction system
- You’ll be researching, designing and implementing enhancements as a core member of the team
- Play an integral role on a small and focused team
- Research, develop and implement algorithms for behavior prediction for an autonomous vehicle
- Improve robot’s capabilities by improving its understanding of agents around it
- Leverage simulation to test and improve your algorithms
- Contribute to the architecture of a safe and redundant system
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 11 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.
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