Description

You will design and implement algorithms for large-scale foundation models, focusing on data curation, spatial-temporal knowledge modeling, and multi-modal perception systems.

This role is remote.

Responsibilities

• Build new algorithms, functionalities, and architectures for research platforms.
• Implement advanced AI and machine perception systems on cloud infrastructure.
• Collaborate with cross-functional engineering and research teams to define and execute implementation roadmaps.
• Participate in publication efforts to drive research outcomes in superintelligence.

Required Skills

• 2-4 years of experience in LLMs, foundation models, or data research.
• Proficiency in C/C++, Python, or Rust.
• Experience with PyTorch and deep learning frameworks.
• Background in Computer Vision, NLP, or Machine Learning.
• Bachelor's degree in Computer Science or a related technical field.

Preferred Skills

• Experience with distributed systems algorithm development.
• MSc or PhD in Computer Science, Computer Vision, or Machine Learning.

Key Skills

Education

Any Graduate