Description

You will develop and implement algorithms for data curation, spatial-temporal modeling, and research tools to advance superintelligence.

This role is remote.

Responsibilities

• Build new algorithms, functionalities, and architectures within research platforms for perception and foundation models.
• Convert research ideas into implemented solutions and support researchers in deploying advanced systems on cloud infrastructure.
• Define and execute system implementation roadmaps in collaboration with cross-functional engineering and research teams.
• Contribute to team publications and research outcomes to push the frontier in computer vision, NLP, and embodied AI.

Required Skills

• 2-4 years of experience in LLMs, foundation models, or data research with independent implementation capabilities.
• Proficiency in C/C++, Python, or Rust for developing algorithms or infrastructure.
• Experience with Deep Learning frameworks, specifically PyTorch.
• Background in Computer Vision, Machine Learning, or Artificial Intelligence.
• Bachelor's degree in Computer Science, NLP, Computer Vision, Machine Learning, or a related technical field.
• Experience in computer vision algorithm development or infrastructure.

Preferred Skills

• MSc or PhD in Computer Science, Computer Vision, Machine Learning, or related field.
• Experience with distributed systems algorithm development and tools like Slurm, Ray, or vLLM.

Key Skills

Education

Any Graduate