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Full-Time

Applied Machine Learning Engineer

Causal Inference Recommendation

Confirmed live in the last 24 hours

DoorDash

DoorDash

10,001+ employees

On-demand food delivery service

Consumer Software
Food & Agriculture

Compensation Overview

$119.1k - $252.4kAnnually

+ Equity Grants

Entry, Junior

Seattle, WA, USA + 3 more

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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kotlin
Python
Tensorflow
Pytorch
Apache Spark
Scala
Natural Language Processing (NLP)
Computer Vision
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
  • Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with experimentation, computer vision, and LLMs!
  • M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
  • Ability to communicate technical details to nontechnical stakeholders
  • Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred.
  • Familiarity with Kotlin/Scala.
  • You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
  • The desire for impact with a growth-minded and collaborative mindset
Responsibilities
  • Develop production machine learning solutions, which is a central intelligence to power multiple teams including Sales Operation, Product, and Marketing
  • Partner with engineering and product leaders to help shape the product roadmap leveraging AI/ML.
  • Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance.
  • Find new ways to use diverse data sources, and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution to touch base with merchants at the right time and provide AI driven world class merchant 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 then delivered by drivers known as "Dashers." DoorDash stands out by utilizing technology to create a three-sided marketplace that benefits customers, restaurants, and Dashers, generating revenue through commission and delivery fees. The company's goal is to be a leading player in the food delivery market while enhancing the user experience.

Company Stage

Series H

Total Funding

$2.5B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

12%

2 year growth

28%
Simplify Jobs

Simplify's Take

What believers are saying

  • DoorDash's continuous innovation, such as the introduction of alcohol delivery in new markets, opens up additional revenue opportunities.
  • The company's strong market presence and brand recognition make it a stable and attractive employer in the competitive gig economy.
  • Strategic partnerships and promotions, like those with McDonald's and Cold Stone Creamery, provide employees with unique opportunities to work on high-visibility projects.

What critics are saying

  • The highly competitive food delivery market requires constant innovation to maintain market share, posing a risk of falling behind.
  • Regulatory changes, such as those affecting gig economy workers' rights, could impact DoorDash's operational model and profitability.

What makes DoorDash unique

  • DoorDash's three-sided marketplace model effectively balances the needs of customers, restaurants, and delivery drivers, setting it apart from competitors who may focus on only one or two of these groups.
  • The company's strategic expansion into alcohol delivery and international markets like Canada and Australia diversifies its revenue streams and reduces dependency on the U.S. market.
  • DoorDash's user-friendly platform and innovative membership programs like DashPass enhance customer loyalty and engagement, distinguishing it from other food delivery services.

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.