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Jobs/San Francisco/Senior Research Engineer/Scientist - On-Device Transformer Models
San Francisco, CA

Senior Research Engineer/Scientist - On-Device Transformer Models

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Research Engineer/Scientist on the

Company
OpenAI
Compensation
$380K - $445K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Research Engineer/Scientist on the Responsibilities: - Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices. - Develop novel architectures that improve model performance when scaling the models themselves is not an option. - Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. - Have a research background related to developing on-device transformer models. - Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself). - Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly. Benefits: - Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices. - Develop novel architectures that improve model performance when scaling the models themselves is not an option. - Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. - Have a research background related to developing on-device transformer models. - Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself). - Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Senior Research Engineer/Scientist - On-Device Transformer Models role.

  • Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.
  • Develop novel architectures that improve model performance when scaling the models themselves is not an option.
  • Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.
  • Have a research background related to developing on-device transformer models.
  • Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).
  • Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.
Benefits

Why people would want this job

OpenAI published these compensation, benefits, or working-context details with the role.

  • Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.
  • Develop novel architectures that improve model performance when scaling the models themselves is not an option.
  • Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.
  • Have a research background related to developing on-device transformer models.
  • Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).
  • Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.
UpJobz market context

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Senior Research Engineer/Scientist - On-Device Transformer Models is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

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Interview themes

Artificial IntelligenceHybridaimachine-learningresearchaws

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aimachine-learningresearchawssecurityapillmpythoninfrastructure
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Source: jobs.ashbyhq.com Β· Source ID: 7f9eb43b-423e-43e4-9f42-d14b8ba0f234 Β· Confidence: 97/100 Β· Last checked: May 7, 2026

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