DoorDash USA

About DoorDash USA

Connecting food lovers with local restaurants

🏢 Tech👥 1001+ employees📅 Founded 2013📍 Mid-Market, San Francisco, CA💰 $2.5b3.7
B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Key Highlights

  • Public company (NYSE: DASH) with a major IPO in 2020
  • Over 450,000 restaurant partners across the U.S. and Canada
  • $2.5 billion raised in funding from top investors
  • Headquartered in San Francisco, CA with 1001+ employees

DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...

🎁 Benefits

DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...

🌟 Culture

DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

DoorDash USA

Software Engineering Senior

DoorDash USASan Francisco

Apply Now →

Skills & Technologies

Overview

DoorDash is seeking a Senior Staff Software Engineer for their Experimentation Platform team. You'll work on building cutting-edge experimentation algorithms and collaborate with data scientists and engineers. This role requires expertise in statistics and machine learning.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in building scalable systems that support experimentation and data analysis. Your background includes a strong understanding of statistics and machine learning principles, enabling you to design and implement robust experimentation algorithms. You thrive in collaborative environments, working closely with data scientists and engineers to democratize experimentation across the organization. You are passionate about leveraging data to drive insights and improve decision-making processes. Your experience includes working with diverse teams, and you are comfortable navigating the intersection of engineering and data science.

Desirable

Experience with experimentation platforms or A/B testing frameworks is a plus. Familiarity with statistical analysis tools and methodologies will help you excel in this role. You are also encouraged to bring innovative ideas to the table, contributing to the continuous improvement of the experimentation process at DoorDash.

What you'll do

As a Senior Staff Software Engineer on the Experimentation Platform team, you will lead the development of an industry-leading platform that empowers users to design, run, and analyze experiments. You will collaborate with a mix of backend, web, and data infrastructure engineers to create solutions that enhance the experimentation capabilities of the organization. Your role will involve building and optimizing algorithms that support rapid product iteration and data-driven decision-making. You will also engage with the data science community to ensure that the platform meets the needs of its users, enabling them to derive meaningful insights from their experiments.

You will be responsible for mentoring junior engineers and fostering a culture of knowledge sharing within the team. Your contributions will directly impact the efficiency and effectiveness of experimentation at DoorDash, allowing product teams to iterate faster and make informed decisions based on rigorous data analysis. You will also have the opportunity to publish your work and share insights with the broader engineering and data science communities.

What we offer

At DoorDash, we value innovation and collaboration. You will be part of a dynamic team that is dedicated to pushing the boundaries of experimentation and data analysis. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to democratize experimentation and empower decision-makers with data-driven insights.

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