Machine Learning Researcher, Gensyn

• ✅ Extremely strong research background - with publications at major machine learning conferences (or commensurate industrial experience)
• ✅ Strong background in machine learning and distributed systems
• ✅ Hands-on experience with distributed model training
• ✅ Highly self-motivated with excellent verbal and written communication skills
• ✅ Comfortable working in an applied research environment - with extremely high autonomy and unpredictable timelines

Desirable

• 👉 Train highly distributed models - over uniquely decentralised and heterogeneous infrastructure, rather than GPU clusters
• 👉 Research novel model architectures - design, build, test, and iterate over completely new ways of building neural networks; with an eye towards achieving byzantine tolerance in a trustless compute setting
• 👉 Publish & collaborate - write research papers targeting top-tier AI conferences such as AAAI, ICML, IJCAI and NIPS, and collaborate with experts from universities and research institutes
• 👉 Engineering support - work with the engineering team on wider issues concerning ML (e.g. reproducible training)
• 👉 Follow best practices - build in the open with a keen focus on designing, testing, and documenting your code
• 👉 Write & engage - contribute to technical reports/papers describing the system and discuss with the community