Research Scientist Intern

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Engage in innovative research focused on Protocol Learning.

• Publish findings in top-tier machine learning conferences such as NeurIPS, ICML, and ICLR.

• Identify and tackle challenges that hinder the scalability of Protocol Learning.

• Address unresolved issues related to scaling from the 8B run to frontier-scale implementations.

• Participate in a 6-month research internship while pursuing a PhD.

• Collaborate with teams in Australia and North America while working remotely across various time zones.

• Utilize substantial computational resources and receive dedicated mentorship from experienced scientists.

⛳️ Requirements

• Currently enrolled as a PhD candidate.

• A minimum of one publication in leading machine learning venues (NeurIPS, ICML, ICLR).

• Experience conducting research in a critical technical area related to frontier models.

• A solid theoretical foundation in deep learning and distributed systems principles.

• Proficient in PyTorch.

• Familiarity with large-scale training infrastructures.

• A strong belief that Protocol Learning represents a viable third path for collective, trustless, and sovereign AI.

• Professional proficiency in English, both written and spoken.

• Ability to work remotely across different time zones.

• Hiring is restricted to candidates in Australia and the US; visa sponsorship is limited to these regions.

🏝️ Benefits

• A 6-month fixed-term research internship.

• Access to extensive computational resources.

• Personalized mentorship from senior scientists.

• Visa sponsorship and relocation support for outstanding candidates in the US and Australia.