Machine Learning Scientist

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 on a single GPU, 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 machine learning scientists to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. Over the past five years, we have been advancing the state-of-the-art, and delivering projects to customers such as Merck. You will help us design, implement, test, and refine novel elements of a machine learning architecture built from the ground up to optimize the properties of small molecule drugs; continually improve the robustness of our existing code base; and apply our pipeline to new drug targets. We can provide all necessary background in chemistry, pharmacology, and biology.

Here is the background we’re looking for:

• Ph.D. in CS, applied mathematics, statistics, physics, or related discipline;
• Expertise with machine learning techniques, including diffusion models, Transformers, and Bayesian optimization, preferably demonstrated through first-author publications in conferences like NeurIPS, ICLR, and ICML;
• Two or more years’ experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.;
• Mastery of Python and PyTorch; and
• Intellectual curiosity and drive to excel.

We are an equal opportunity employer and enthusiastically welcome applications from women, BIPOC, and members of underrepresented
communities and groups. Compensation is a competitive mix of cash and options. We prioritize expertise and passion over where you decide to live and work.