The challenge of building machine learning (ML)-powered applications is running inferences on large volumes of data and returning a prediction over the network within milliseconds, which can’t be done without minimizing network overheads.
Category Archives: engineering
Meet Sibyl – DoorDash’s New Prediction Service – Learn about its Ideation, Implementation and Rollout
As companies utilize data to optimize and personalize customer experiences, it becomes increasingly important to implement services that can run machine learning models on massive amounts of data to quickly generate large-scale predictions.
How DoorDash is Scaling its Merchant Engineering Teams to Meet New Challenges
On the front lines of addressing Stay-At-Home orders caused by the COVID-19 pandemic, DoorDash’s Merchant team has been busy ensuring that merchants have what they need to offer delivery, get onboarded onto the platform and that everything is scaled to maximize reliability.
Improving Experimental Power through Control Using Predictions as Covariate (CUPAC)
In this post, we introduce a method we call CUPAC (Control Using Predictions As Covariates) that we successfully deployed to reduce extraneous noise in online controlled experiments, thereby accelerating our experimental velocity.
Rapid experimentation is essential to helping DoorDash push key performance metrics forward.
Interview with Rajat Shroff – VP of Product at DoorDash
[caption id="attachment_2482" align="aligncenter" width="299"] Rajat Shroff VP of Product at DoorDash[/caption]
Hi Rajat, tell me about what you do at DoorDash.
Design Leadership Interview with Tae Kim
[caption id="attachment_1612" align="alignnone" width="300"] Tae Kim UX Content Strategist at DoorDash[/caption]
Hey Tae, how’s it going?
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
[caption id="attachment_1476" align="aligncenter" width="300"] Radhika Bhalla, Senior manager of UX research[/caption]
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.