Join a forward-thinking research initiative as a Research Scientist Intern, contributing to foundational work in Protocol Learning during your PhD. This six-month remote role connects you with seasoned scientists and powerful computational resources, enabling high-impact research in decentralized AI model training.
What You'll Do
- Advance the field of Protocol Learning through original research aimed at publication in premier venues such as NeurIPS, ICML, or ICLR
- Collaborate with experienced mentors to develop novel approaches within decentralized AI frameworks
- Leverage large-scale training infrastructure to test and refine theoretical models
What We're Looking For
- Enrollment in a PhD program with active research in machine learning or a related technical domain
- Proven research output with at least one paper published in a leading conference (e.g., NeurIPS, ICML, ICLR)
- Solid grasp of deep learning theory and distributed systems architecture
- Proficiency in PyTorch and experience running large-scale training jobs
- Fluency in professional English, both written and spoken
Environment & Support
This role is remote, open to candidates in Australia and the United States, and requires flexibility across time zones. The team operates on a decentralized, collaborative model, driven by a belief in open innovation and equitable access to AI advancements. Backed by Union Square Ventures and other leading investors, the organization is committed to countering centralized control of AI development. You’ll receive dedicated guidance from senior researchers and have the chance to shape an emerging discipline through published work.
