Machine Learning Engineer
New Verticals
Updated on 2/6/2024
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
Tensorflow
Pytorch
Natural Language Processing (NLP)
Computer Vision
CategoriesNew
AI & Machine Learning
Requirements
  • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact
  • Experience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision
  • Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields
Responsibilities
  • Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building
  • Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business
  • Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience
Desired Qualifications
  • Desire for impact with a growth-minded and collaborative mindset