Member of Technical Staff - Applied AI Research

DoorDash

$203K — $299K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI product development
  • Familiarity with agent solutions and performance evaluation
  • Strong understanding of reinforcement learning techniques
  • Experience with large-scale reinforcement learning infrastructures
  • Background in leading AI labs or startups like OpenAI or DeepMind
  • Builder mindset focused on experimentation and rapid development
  • Strong ability to collaborate across research and product teams
  • PhD in AI or related scientific fields is a plus

Responsibilities

  • Collaborate with cofounder to define AI research direction
  • Develop environments and methods for agent evaluation
  • Design systems and algorithms to optimize agent performance
  • Collect and curate data to enhance agent capabilities
  • Work with a small team for high-impact, real-world applications
  • Implement rapid iteration of AI solutions without bureaucratic delays
  • Shape AI to improve commerce experiences for Users, Merchants, and Dashers

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness and commuter benefits
  • Flexible paid time off with additional paid sick leave
  • Comprehensive medical, dental, and vision coverage
  • 11 paid holidays annually
  • Disability and life insurance options
  • Family-forming assistance and mental health programs
Full Job Description
About the Role

You'll work directly with our cofounder with direct ownership over the direction of AI research at DoorDash. In this role you will develop realistic agent environments and evaluation methods, design systems and algorithms to improve agent performance, and collect and curate human and synthetic data to improve the capability and behavior of agent systems. This is hands-on work with immediate product impact at real-world scale.
You're excited about this opportunity because you will...
  • Work directly with leadership and see your research deployed at real-world scale - small team, massive reach.
  • Move fast without bureaucracy - rapid iteration, high autonomy, and no layers of politics.
  • Have access to global data scale, robust compute, and a platform primed for AI transformation.
  • Shape how AI transforms commerce, building intelligent and adaptive experiences for millions of Consumers, Merchants, and Dashers.
We're excited about you because you have...
  • Experience with the latest AI tools building AI products
  • Familiarity with building agent solutions, including context management, defining evals, measuring performance
  • Strong knowledge of reinforcement learning techniques
  • Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning
  • Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups.
  • A builder mindset - you're energized by experimentation, move quickly, and stay close to the work
  • Strong cross-functional instincts and a natural ability to bring research and product teams together.
  • Nice to have: PhD with AI or other scientific domains


Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.

How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page.

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 to all regular employees, which includes 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 in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).


The national base pay range for this position within the United States, including Illinois and Colorado.

$203,500-$299,300 USD

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