Applied Machine Learning Scientist

VANCOUVER, BC (OR REMOTE) / 2+ YRS PROFESSIONAL EXPERIENCE

Small molecule drug discovery is one of the most exciting open problems in machine learning. Traditional approaches require over ten years and two billion dollars to develop a new pharmaceutical, and their reliance on trial-and-error calls out for better predictive and generative models. The existent datasets are large enough to benefit from sophisticated deep learning architectures, but small enough that ML models can be trained in a few days, facilitating rapid experimentation and innovation. Nevertheless, the current industry standard has progressed little beyond shallow ML techniques such as random forests and support vector machines, largely due to the difficulty of integrating world‑class machine learning research with chemistry and pharmacology expertise.

Variational AI is searching for an applied machine learning scientist to join us in our quest to radically accelerate the development of new drugs...