Machine Learning Engineer
Conversation AI
Posted on 3/28/2024
DoorDash

10,001+ employees

Local food delivery from restaurants
Company Overview
DoorDash is working to empower local communities and in turn, creating new ways for people to earn, work, and thrive. The company operates the largest food delivery platform in the United States.
Consumer Goods

Company Stage

Series H

Total Funding

$2.5B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-9%
Locations
Seattle, WA, USA • San Francisco, CA, USA • Los Angeles, CA...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Apache Spark
Natural Language Processing (NLP)
Data Analysis
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Conversational AI & Chatbots
AI Research
Requirements
  • 3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
  • Must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New York
  • Deep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled data
  • Good experience in overall big data analysis, system, backed integration with new ML system/solution
  • Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
  • Familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
  • Experience productionizing and A/B testing different machine learning models
  • Familiarity with advanced causal inferences techniques and contextual bandit algorithms preferred
Responsibilities
  • Lead the development of DoorDash's support chatbot & LLM system
  • Drive the personalization of DoorDash's issue prediction & resolution policies
  • Spearhead the creation of next-generation LLM AI Agent tools
  • Apply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader system