Description
As a Senior ML Engineer at NVIDIA, you will be part of a team harnessing the boundless capabilities of AI to build the next era of computing.
Your responsibilities will include:
- Finding areas where Cosmos models underperform or lack capability and recommending new solutions
- Partnering with the Cosmos team to identify and prioritize new platform features
- Leading the open-sourcing of solutions and research artifacts developed by the team
- Staying current with the latest advances in foundation models, generative architectures, and training methodologies
- Partnering multi-functionally with various teams to drive alignment and unblock execution
To be successful in this role, you will need:
- MSc or PhD in Computer Science, Electrical Engineering, or a related field
- 8+ years of proven experience in applied machine learning or AI research
- Deep expertise in deep learning fundamentals, with hands-on experience in diffusion models and generative architectures
- Experience in pre-training or refining large language models, vision-language models, or world foundation models
- Experience working with large-scale foundation models, including training workflows, fine-tuning techniques, and evaluation approaches
- Experience working with simulation environments like Isaac Sim or similar platforms
Benefits include a competitive salary package, equity, and benefits.