Job Description
Job Description We are partnered with an exciting Cambridge based startup, building out their Machine Learning Division.
Essential Qualifications:
Doctorate degree in Mathematics, Computer Science, or a closely related field.
Proven track record of research in either an academic or industrial setting.
Demonstrated ability in effective communication across various scientific disciplines.
Adaptability and a proactive approach to acquiring new skills and knowledge in a dynamic work environment.
Desirable Experience:
Hands-on experience with computational models that simulate cellular disruptions.
Knowledge of Bayesian methods and proactive machine learning techniques.
Practical experience in developing AI-driven generative models, particularly those involving transformer architectures.
A demonstrated passion for research into extending healthy human lifespans.