The company is looking to advance machine intelligence through novel research and development of scalable, distributed models over decentralized and heterogeneous infrastructure.
Requirements
- Demonstrated background with novel research in machine learning via first author publications
- Existing work in modular, highly distributed, or continual deep learning
- Experience with cryptography applied to machine learning
Responsibilities
- Publish novel research in deep learning focusing on massive scale modular/composable architectures, verifiability, and continual learning
- Research novel model architectures - design, build, test, and iterate over completely new ways of building neural networks
- Partner closely with research and production engineering teams to experiment and productionise the research
- Own and pursue novel research - building scalable, distributed models over uniquely decentralised and heterogeneous infrastructure
- Publish & collaborate - write research papers targeting top-tier AI conferences such as NeurIPS, ICML, ICLR and collaborate with experts from universities and research institutes
Other
- Highly self-motivated with excellent verbal and written communication skills
- Comfortable working in an applied research environment with extremely high autonomy and unpredictable timelines
- Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones
- Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones)
- 3-4x all expenses paid company retreats around the world, per year
- Paid sick leave
- Private health, vision, and dental insurance- including spouse/dependents [ only]
