Senior Staff Software Engineer, Experimentation Platform

DoorDash; Sunnyvale (CA); On-site; USD 242,000 - 357,000; Full time

Job summary

Join a forward-thinking company as a Senior Staff Software Engineer on the Experimentation Platform team. This role offers the chance to work at the intersection of statistics, machine learning, and engineering, contributing to innovative platforms that empower data-driven decision-making. You'll collaborate with talented engineers to develop advanced experimentation algorithms and tools that support large-scale data analysis. If you're passionate about pushing the boundaries of experimentation and want to make a significant impact in a dynamic environment, this opportunity is perfect for you. Be part of a mission to democratize experimentation and drive meaningful insights across the organization.

Benefits

401(k) plan with employer match

Paid time off

Paid parental leave

Wellness benefits

Medical, dental, and vision benefits

Disability and life insurance

Family-forming assistance

Commuter benefit match

Mental health program

Qualifications

• 10+ years in statistical or ML model development with business impact.
• Advanced degree in relevant quantitative fields required.

Responsibilities

• Build and evolve experimentation platforms for statistical methodologies.
• Drive statistical and ML development for internal platforms.

Skills

Statistical Modeling

Machine Learning

Programming (Python, Java, Kotlin, Go)

Causal Inference

Data Mining

Fullstack Development

Big Data Technologies

Education

M.S. or PhD in Statistics

Bachelor's in Computer Science

Applied Mathematics

Tools

SciKit Learn

Spark MLLib

Postgres

Redis

Elasticsearch

Snowflake

Job description

Senior Staff Software Engineer, Experimentation Platform

San Francisco, CA; Seattle, WA; Sunnyvale, CA

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.

If you embrace the challenges in the intersection of statistics, machine learning, and engineering, build cutting-edge experimentation algorithms and work with some of the smartest people in the industry, DoorDash’s Experimentation Platform is the right place for you. Come join us and be part of the mission.

You will partner with backend and frontend engineers and build platforms to power data-driven decision making. Solutions will inform how we build our intelligent, last-mile delivery platform for local cities and will be on the forefront of research conducted on three-sided marketplaces.

You're excited about this opportunity because you will...

• 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

We're excited about you because you have…

• 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
• Nice to haves: 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.)

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Paid sick leave in compliance with applicable laws (i.e. Colorado Healthy Families and Workplaces Act).

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within the United States: $242,800 — $357,000 USD.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.