Research Scientist

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

📋 Description

• Identify and address open challenges hindering Protocol Learning at scale, including issues related to communication efficiency, convergence amidst churn and staleness, heterogeneity, and resilience against malicious actors.

• Publish research findings in top-tier venues.

• Collaborate with the engineering team to incorporate research methodologies into live training sessions.

• Enhance decentralized training and deployment of large models on consumer-grade devices via the internet.

• Conduct research aimed at scaling from the 8B run to frontier-scale models.

⛳️ Requirements

• PhD in machine learning with publications in prestigious conferences such as NeurIPS, ICML, or ICLR.

• Practical experience with large-scale distributed training and compression techniques.

• Proficient programming skills in PyTorch.

• A conviction that Protocol Learning represents a viable approach for collective, trustless, and sovereign AI.

• Experience in foundation model pre-training, post-training, or reinforcement learning is a plus.

• Background in proprietary, open-weight, or open-source AI labs is advantageous.

• Professional-level English proficiency, both written and spoken.

• Comfortable collaborating across different time zones.

🏝️ Benefits

• Significant equity ownership for key technical contributors, in addition to a competitive base salary.

• Flexible remote work environment.

• Full visa sponsorship and relocation assistance to Australia or the US for exceptional candidates.

• Opportunity to tackle open research challenges and publish foundational papers.

• Work within a globally distributed team.

• Gain exposure to frontier-scale model training and serving.