Academic Collaboration
Collaborative research invitation focusing on decentralized AI, joint publications, and interdisciplinary exploration.
Remote • Sydney NSW, Australia
- Full Time
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Collaborative research invitation focusing on decentralized AI, joint publications, and interdisciplinary exploration.
Senior engineers with 5+ years in distributed systems and ML training design and optimize large-scale distributed training under low-bandwidth, high-latency conditions.
Publish in Tier-1 Venues and solve hard research problems in Protocol Learning, publishing foundational papers.
Lead technical content and community engagement to explain distributed training and frontend research to ML engineers and researchers.
Lead technical content and community engagement for ML research, shaping Pluralis’s voice and outreach.
Publish foundational papers through a six-month internship focused on Protocol Learning.
Research excellence in ML with distributed training; published in top venues; strong PyTorch skills across devices.
Architect and scale infrastructure powering a decentralized ML training platform with multi-cloud orchestration and distributed systems.