✨ About The Role
- Responsible for setting up data collection pipelines and building evaluations for new capabilities in AI models
- Research and develop improvements to multimodal capabilities of AI models, including exploring data trade-offs for vision perception tasks
- Analyze model behavior, find weaknesses, and experiment with new multimodal capabilities
- Keep large ML training jobs running smoothly by fixing various non-ML software issues related to data quality, data prep, and job startup speed
âš¡ Requirements
- Strong research background in general computer vision or speech systems with experience optimizing model run-time
- Proven record of successful research projects in vision or speech with a deep understanding of current computer vision or speech research
- Experience debugging ML systems and working with transformers and Python
- Ability to work in complex technical environments and willingness to dive into large ML codebases to debug and fix issues
- Team player who is willing to perform a variety of tasks to move the team forward