xAI is looking to solve problems in the physical and digital worlds through novel video understanding capabilities, aiming to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Requirements
- Experience in LLM reinforcement learning, tool use, and agentic approaches.
- Experience in real-world computer vision. For example, experience in visual/multimodal search and dealing with noisy visual data.
- Strong engineering background with experience working with large-scale, modern backend services.
- Python
- JAX / PyTorch
- Rust
Responsibilities
- Research and implement ideas to drive video understanding, whether it is a new model, system or a new tool, with high ROI per unit time.
- Driving data quality and insights, through curating better data , building pipelines, and studying how users interact with the model.
- Creating evaluation metrics to measure model capabilities and discovering failure modes.
- Own the full experiment cycle, including model deployment and experiment design, to get maximum information from your work.
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.
- They should be able to concisely and accurately share knowledge with their teammates.
