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
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.
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.
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.
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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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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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