Hey Tae, how’s it going?
Category Archives: engineering
DoorDash’s ML Platform – The Beginning
DoorDash uses Machine Learning (ML) at various places like inputs to Dasher Assignment Optimization, balancing Supply & Demand, Fraud prediction, Search Ranking, Menu classification, Recommendations etc.
Product Leadership Interview with Kevin Fu
Kevin Fu joined DoorDash in 2015 on the Bay Area operations team.
Design Leadership Interview with Radhika Bhalla
Hi Radhika!
Supercharging DoorDash’s Marketplace Decision-Making with Real-Time Knowledge
DoorDash is a dynamic logistics marketplace that serves three groups of customers:
Merchant partners who prepare food or other deliverables,
Dashers who carry the deliverables to their destinations,
Consumers who savor a freshly prepared meal from a local restaurant or a bag of groceries from their local grocery store.
For such a real-time platform as DoorDash, just-in-time insights from data generated on-the-fly by the participants of the marketplace is inherently useful to making better decisions for all of our customers.
Next-Generation Optimization for Dasher Dispatch at DoorDash
At DoorDash, our logistics team focuses on efficiently fulfilling high quality deliveries.
Organizing Machine Learning: Every Flavor Welcome!
DoorDash’s principles and processes for democratizing Machine Learning
Six months ago I joined DoorDash as their first Head of Data Science and Machine Learning.
Personalized Cuisine Filter
The consumer shopping experience is a key focus area at DoorDash.
Becoming a Leader as a First-Generation Immigrant
Although we’re living in an era in which many companies advocate for diversity and inclusion, I am often still the only female director in the room in the tech industry.
Our “Tech Stack” in the Android Dasher App
DoorDash has been on a hiring binge since the company was founded, often doubling or tripling in size each year.