Full-Time

Machine Learning Engineer

New Verticals

Updated on 1/14/2025

DoorDash

DoorDash

10,001+ employees

On-demand food delivery service

Food & Agriculture
Consumer Software

Compensation Overview

$137.1k - $299.3kAnnually

+ Equity Grants

Entry, Junior, Mid

Company Historically Provides H1B Sponsorship

Seattle, WA, USA + 4 more

More locations: San Francisco, CA, USA | Los Angeles, CA, USA | New York, NY, USA | Sunnyvale, CA, USA

Role is hybrid, requiring some in-office presence.

Category
Applied Machine Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Natural Language Processing (NLP)
Computer Vision
Operations Research
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.
  • The desire for impact with a growth-minded and collaborative mindset.
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.

DoorDash connects customers with local and national restaurants for on-demand food delivery, primarily in the United States, Canada, and Australia. The platform allows users to browse menus and place orders, which are delivered by drivers known as "Dashers." DoorDash earns revenue through commission fees from restaurants and delivery fees from customers, while Dashers are compensated with base pay and tips. The company's goal is to lead the food delivery market by enhancing user experience and expanding its services.

Company Stage

IPO

Total Funding

$2.4B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cannabis delivery opens new revenue streams amid growing demand for THC and CBD products.
  • Ibotta partnership may increase order frequency through enhanced digital promotions.
  • David's Bridal partnership taps into the lucrative wedding industry, diversifying offerings.

What critics are saying

  • Cannabis delivery faces competition from new market entrants, impacting market share.
  • Ibotta partnership may underperform if digital promotions don't resonate with customers.
  • Expansion into non-traditional categories may dilute DoorDash's core brand identity.

What makes DoorDash unique

  • DoorDash's entry into cannabis delivery diversifies its service offerings.
  • Partnership with Ibotta enhances digital promotions, adding value for customers.
  • Collaboration with The Trade Desk boosts targeted advertising capabilities.

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Benefits

Health & Wellness - Premium medical, dental, and vision insurance plans, including fertility coverage. Monthly gym and wellness reimbursement.

Compensation - Competitive salary with bi-annual performance reviews. Meaningful equity opportunities - with quarterly vesting.

Time When You Need It - Flexible vacation days for salaried employees. Generous vacation and sick days for hourly team members. Paid Parental Leave to support our DoorDash families.

Flexible Work Support - At-home office equipment and monthly WiFi support while working from home. Enjoy your favorite lunch on us while working in one of our offices.