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Staff Software Engineer, Experimentation Platform

DoorDash

San Francisco, CA
Full Time
Senior
160k-235k
about 2 months ago

Job Description

About the Role

The Experimentation Platform team at DoorDash develops an industry-leading platform that enables data scientists, ML engineers, and non-technical users to design, run, and analyze experiments and conduct exploratory and causal analysis. The team works closely with the data science community to democratize experimentation with quality and velocity, supporting thousands of experiments per month and enabling data-driven decision making across the company.

Key Responsibilities

  • Build an Experimentation platform that can evolve to handle new statistical methodologies, machine learning, artificial intelligence technologies, and advanced causal inference and data mining techniques.
  • Drive the statistical and ML development of internal platforms, including the theoretical and engineering aspects of products such as the A/B testing platform, Causal Inference platform, and Adaptive Learning platform (RL/MAB).
  • Expand the statistical and causal inference algorithms to support large-scale experimentation volume, computation load, and high noise-to-signal business environments.
  • Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval, and data augmentation strategies to advance hypothesis generation within the experimentation platform.
  • Advise data scientists, operators, and engineers across the company on experimental design and adoption of experimentation tools.

Requirements

  • 7+ years of industry experience developing statistical or ML models with business impacts.
  • M.S., or PhD. in Computer Science, Statistics, Causal Inference, Experimentation, Applied Mathematics, or related quantitative fields.
  • Demonstrated expertise with programming languages such as Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib, etc.
  • Experience building reliable, scalable, highly available distributed systems.
  • You are located or planning to relocate to San Francisco CA, Sunnyvale CA, Seattle WA, or New York NY.

Nice to Have

  • Deep expertise in mathematics, statistics, causal inference, or econometrics.
  • Fullstack industry experience (web + backend).
  • Experience with any of the 'Big Data' technologies (e.g., Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark).

Qualifications

  • Educational background with a Master’s or PhD in a relevant quantitative field.

Benefits & Perks

  • Competitive salary within the range of $159,800-$235,000 USD, determined by skills, experience, and location.
  • Opportunities for equity grants.
  • Comprehensive benefits including a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off, and paid sick leave.
  • Medical, dental, and vision benefits, 11 paid holidays, disability and life insurance, family-forming assistance, and mental health programs.
  • Paid time off: flexible vacation and 80 hours of paid sick leave for salaried roles; accrued vacation and sick time for hourly roles.

Working at DoorDash

At DoorDash, our mission is to empower local economies by making impactful decisions that display empathy for our users, including Dashers, merchant partners, and consumers. We support rapid growth, continuous learning, and innovation, fostering a diverse and inclusive environment where everyone has the opportunity to excel. We are committed to supporting employees' happiness, health, and overall well-being through comprehensive benefits and perks, and we value diversity and inclusion in our hiring practices.

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Job Details

Posted AtJun 28, 2025
Job CategoryData Science
Salary160k-235k
Job TypeFull Time
ExperienceSenior

Job Skills

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About DoorDash

Website

doordash.com

Company Size

10000+ employees

Location

San Francisco, CA

Industry

Mobile Food Services

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