Staff Machine Learning Engineer - Experimentation Platform

A technology and logistics company that started with door-to-door delivery, expanding into delivery of any and all goods.
$196,100 - $288,400
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Logistics

Description For Staff Machine Learning Engineer - Experimentation Platform

DoorDash's Experimentation Platform team is at the forefront of data-driven decision making, developing an industry-leading platform for experiments and causal analysis. The team builds tools that enable thousands of experiments monthly, democratizing experimentation across the organization. As a Staff ML Engineer, you'll work with a diverse team of backend, web, statistical, and data infrastructure engineers to advance the platform's capabilities. The role combines deep technical expertise in ML, statistics, and distributed systems with practical business impact. You'll build sophisticated experimentation algorithms, implement cutting-edge ML solutions, and help shape how DoorDash makes data-driven decisions. The position offers competitive compensation ($196,100-$288,400), comprehensive benefits, and the opportunity to work on challenging problems in a rapidly growing technology company. The team has published several technical articles showcasing their innovative work in experimentation and causal inference, making it an excellent opportunity for those interested in pushing the boundaries of ML and experimentation at scale.

Last updated a minute ago

Responsibilities For Staff Machine Learning Engineer - Experimentation Platform

  • Build Experimentation platform handling statistical methodologies, ML and AI technologies
  • Drive statistical and ML development of internal platforms including A/B testing, Causal Inference and Adaptive Learning platforms
  • Expand statistical and causal inference algorithms for large-scale experimentation
  • Apply semi-supervised learning, LLM, active learning for hypothesis generation
  • Advise data scientists, operators, and engineers on experimental design

Requirements For Staff Machine Learning Engineer - Experimentation Platform

Python
Java
Kotlin
Go
PostgreSQL
Redis
  • 10+ years of industry experience developing statistical or ML models with business impacts
  • M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or related fields
  • Expertise with programming languages (Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib)
  • Experience building reliable, scalable, highly available distributed systems
  • Deep expertise in mathematics, statistics, causal inference or econometrics
  • Experience with Big Data technologies

Benefits For Staff Machine Learning Engineer - Experimentation Platform

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
Commuter Benefits
  • 401(k) plan with employer match
  • Paid time off
  • Paid parental leave
  • Wellness benefits
  • Medical, dental, and vision benefits
  • Disability and basic life insurance
  • Family-forming assistance
  • Commuter benefit match
  • Mental health program

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