xAI is looking to advance multimodal capabilities, including understanding and generation across image, video, and audio, by improving data quality, developing evaluation frameworks, and designing efficient algorithms for state-of-the-art model performance.
Requirements
- Python
- Jax
- Rust
- Track record in leading research that significantly improves the capability and performance of neural networks, whether better data or better modeling.
- Experience in data-driven experiment designs and systematic analysis for iterative model debugging.
- Experience in developing or working with large-scale distributed machine learning systems.
Responsibilities
- Creating and driving research agenda to advance multimodal capabilities, which include both multimodal understanding and multimodal generation, across different modalities like image, video and audio.
- Improving data quality, developing data filtering/generation techniques, and performing data study.
- Creating evaluation frameworks and internal benchmarks.
- Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.
Other
- All employees are expected to be hands-on and to contribute directly to the company’s mission.
- Leadership is given to those who show initiative and consistently deliver excellence.
- Work ethic and strong prioritization skills are important.
- All engineers and researchers are expected to have strong communication skills.
- Candidates are expected to be located near the Bay Area or open to relocation.
