Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.
Requirements
- Strong background in applied machine learning / engineering
- Hands-on experience with distributed model training
- Experience building highly performant, distributed systems
- Demonstrated background with novel research in machine learning
Responsibilities
- Contribute to novel research by designing and building massive scale deep learning systems focusing on modularity, composability, verifiability, and continual learning
- Pursue novel research - building scalable, distributed models over uniquely decentralised and heterogeneous infrastructure
- Partner with both researchers and production engineers to design and run novel experiments, taking research from theory all the way to production
- Own and maintain experimental frameworks and test benchmarks for ML research in uniquely high-scale and decentralised settings
- build in the open with a keen focus on designing, testing, and documenting your code
Other
- Comfortable working in an applied research environment - with extremely high autonomy and unpredictable timelines
- Highly self-motivated with excellent verbal and written communication skills
- Strong public presence
- Experience working in a startup environment
- Visa sponsorship -available for those who would like to relocate to the US after being hired
