ML Research Intern

Summary

The job is an internship opportunity at Sahara, a decentralized AI network that aims to provide fair and universal access to global knowledge capital. The intern will work on pioneering research areas like Human-in-the-loop machine learning, Model Explanatory, Parameter-efficient Fine-tuning, Collective Intelligence, and Human-machine integration. The ideal candidate is an undergraduate or graduate student in Computer Science, Data Science, Math or related fields with a problem-solving mindset and passion for innovation.

Requirements

• Undergraduate or graduate students in Computer Science, Data Science, Math or related fields, as well as degree holders
• An enthusiasm to learn and explore the uncharted territories of AI, ML, and related fields
• Problem-solving mindset with a passion for innovation and experimentation
• Can commit to an internship period of more than 4 months (depends on proficiency)

Responsibilities

Collaborate on pioneering research areas like Human-in-the-loop machine learning, Model Explanatory, Parameter-efficient Fine-tuning, Collective Intelligence, and Human-machine integration

Preferred Qualifications

• Proficiency in ML frameworks such as PyTorch, TensorFlow, JAX, or similar
• Familiarity with Natural Language Processing (NLP), Computer Vision (CV), Recommender system, Reinforcement Learning, or Large Language Models

Benefits

• Shape the future of AI and Blockchain with a global and diverse team of industry experts on a mission to drive the AI industry forward
• Work closely with pioneering AI companies and startups
• Highly competitive compensation
• Support for career and professional development