My client is building software to deliver multi-stakeholder AI using the power of blockchain technology. As a lead machine learning scientist, you would have the opportunity to work at the intersection of these fascinating fields and shape the future of machine learning by allowing the sharing of information without compromising peoples' privacy, security or sovereignty. This challenge involves a combination of game theory, differential privacy, machine learning, cryptography and distributed computing. They are looking for someone to lead the team of highly talented machine learning scientists and engineers to help bring their vision to life.
The position entails a blend of practical machine learning problem-solving, foundational algorithm development, and protocol design. Their research scientists are afforded the chance to publish in renowned conferences and collaborate closely with our seasoned engineers to deliver tomorrow's state-of-the-art technologies. They are particularly interested in conversing with machine learning experts who possess extensive technical expertise in the field and are either currently leading a team or prepared to take on leadership responsibilities. Candidates with experience in any of the following areas-MLOps, game theory, federated learning, differential privacy, or cryptography-are highly encouraged to submit their applications.
Essential Skills and Experience:
This is a Hybrid role Based in Cambridge and they are not able to offer sponsorship.