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Research Engineer, Multimodal (Post-training) - San Francisco California
Company: OpenAI Location: San Francisco, California
Posted On: 05/05/2024
Research Engineer, Multimodal (Post-training) About the Team Our team is responsible for the Post-training or alignment of ChatGPT. We integrate various improvements from the rest of the company into our RLHF process ultimately producing the models used by millions of users both in the ChatGPT product and API. About the RoleAs a Member of Technical Staff on our team, you will research and develop improvements to multimodal capabilities of our AI models, including data collection, exploring data trade-offs for vision perception tasks, and evaluations. -The ideal candidate will have a strong research background working on general computer vision or speech systems. Experience in optimizing model run-time is a plus. - This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Be responsible for setting up data collection pipelines
- Building evals for new capabilities and evaluating our systems
- Experimenting with new multimodal capabilities
- Analyzing model behavior and finding weaknesses
- Be willing to dive into large ML codebases to debug
- Be responsible for keeping very large ML training jobs going smoothly
- Fixing a variety of non-ml software things involving data quality, data prep, job startup speed You might thrive in this role if you:
- Are a team player - willing to do a variety of tasks that move the team forward
- Experience with large multimodal systems
- Proven record of successful research projects in vision or speech
- Deep understanding of current computer vision or speech research
- Experience with transformers
- Experience with the python
- Experience working in complex technical environments Compensation, Benefits and Perks Total compensation also includes generous equity and benefits.
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