Research Scientist

In this role you will:

• Develop deep learning methods to improve foundation models, taking them to the next level of real-world applications like robotic manipulation and high-level task planning.
• Design machine learning techniques to adapt these models to key domains and downstream tasks.
• Curate and construct datasets for large-scale learning, enhancing capabilities in human preference learning and specialized applications.
• Collaborate closely with our research team to build robotics demonstrations that showcase the power of your work.

Who we’re looking for:

• Education: MS or PhD in a foundation-model-relevant field
• Experience: 7+ years in research & development
• Skills: Proficiency with large language and foundation models, model parallelism, and distributed training techniques
• Technical Fluency: Deep learning frameworks like PyTorch and expertise in Python or C++ for rapid prototyping
• Track Record: Published work in leading ML, Robotics, and AI conferences and journals (e.g., CVPR, ICCV, NIPS, ICLR)

Bonus points if you bring experience in:

• MLOps, DevOps, or IoT solutions
• Docker, Kubernetes, cloud computing, and orchestration workflows
• Big data processing tools like Hadoop, Spark, Kafka, and CUDA parallel programming
• This is a unique opportunity to work on cutting-edge foundation model research and bring meaningful advancements to robotics and AI. Let’s shape the future of intelligent systems together!