Senior Staff Software Engineer, Experimentation Platform at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key Responsibilities

• Build Experimentation platform that can evolve to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques
• Drive the statistical and ML development of internal platforms, including both the theoretical and engineering aspects, products including 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 and computation load and high noise-to-signal business environment
• Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval and data augmentation strategies to advance the hypothesis generation of the experimentation platform
• Advise data scientists, operators, and engineers across the company on experimental design and adoption of experimentation tools

Required Qualifications

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

Key Skills

• Developing statistical or ML models
• Programming languages: Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib
• Building reliable, scalable, highly available distributed systems
• Statistics
• Causal Inference
• Machine Learning
• Artificial Intelligence
• Experimental design

Preferred Qualifications

• 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 etc.)

DoorDash Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance

Salary Range

$2,31,200 - $2,31,200 USD annually

Job Summary

About the Team

The Experimentation Platform team 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. At DoorDash, where we run thousands of experiments per month, our mission is to equip all decision makers with rigorous, data-driven insights by democratizing experimentation with quality and velocity. The team consists of a mix of experienced veterans of backend, web, statistical and data infra engineers that works closely with the data science community. 

Some of the interesting work done in the team was published in articles such as:(1) 

Locations

• San Francisco, United States