Full-Time

Staff Software Engineer

Machine Learning, Personalization

Confirmed live in the last 24 hours

DoorDash

DoorDash

10,001+ employees

On-demand food delivery service

Food & Agriculture
Consumer Software

Compensation Overview

$119.1k - $252.4kAnnually

+ Equity Grants

Senior

Company Historically Provides H1B Sponsorship

San Francisco, CA, USA + 1 more

More locations: Sunnyvale, CA, USA

Hybrid role requiring some in-office presence.

Category
Applied Machine Learning
AI & Machine Learning
Software Engineering
Required Skills
Python
Tensorflow
Pytorch
Operations Research
Requirements
  • 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
  • Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs is a plus.
  • Machine learning background in Python; experience with PyTorch or TensorFlow preferred.
  • Ability to communicate technical details to nontechnical stakeholders
  • 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
  • Desire for impact with a growth-minded and collaborative mindset.
Responsibilities
  • Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.
  • Partner with engineering and product leaders to help shape the product roadmap applying ML.
  • Mentor junior team members, and lead cross functional pods to create collective impact.

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, catering to individuals and restaurants alike. DoorDash operates a three-sided marketplace involving customers, restaurants, and delivery drivers, earning revenue through commission fees from restaurants and delivery fees from customers. The company's goal is to leverage technology to enhance the food delivery experience and continue expanding its market presence.

Company Stage

IPO

Total Funding

$2.4B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

4%

1 year growth

18%

2 year growth

31%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with David's Bridal opens new revenue streams in high-touch retail sectors.
  • Reduced-price DashPass for SNAP/EBT recipients expands customer base and market penetration.
  • Expansion into grocery delivery with major chains strengthens daily consumer engagement.

What critics are saying

  • Increased competition from companies like Gopuff may erode market share.
  • Expansion into non-traditional categories may dilute brand identity.
  • Logistical challenges in bridal wear delivery could lead to customer dissatisfaction.

What makes DoorDash unique

  • DoorDash offers on-demand delivery for non-traditional items like wedding dresses.
  • The company integrates digital payment solutions for enhanced user convenience.
  • DoorDash uses advanced machine learning for security and unauthorized access detection.

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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.