Machine Learning Engineer

Variational AI Inc.; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company dedicated to revolutionizing drug discovery through machine learning. As a Machine Learning Engineer, you'll play a crucial role in enhancing the efficiency of pharmaceutical development by leveraging advanced ML techniques. Collaborate with a team of experts to tackle complex challenges, from preparing datasets to optimizing deep learning architectures. This innovative firm values expertise and passion, offering a competitive compensation package that includes cash and options. If you're driven by intellectual curiosity and a desire to excel, this opportunity is perfect for you.

Qualifications

• 2+ years experience developing robust code on larger projects.
• Mastery of Python and PyTorch is essential.
• Experience with machine learning techniques preferred.

Responsibilities

• Identify, clean, prepare, and test datasets for ML projects.
• Run experiments to evaluate new architectures and tune hyperparameters.
• Collaborate with ML scientists and chemists to improve drug development.

Skills

Machine Learning Techniques

Python

PyTorch

Diffusion Models

Transformers

Bayesian Optimization

Software Engineering

Education

M.S. in Computer Science

Ph.D. in related discipline

Job description

We’re looking for a Machine Learning Engineer

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 a machine learning engineer to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. For over five years, we have been advancing the state-of-the-art , and delivering projects to customers including Merck , Rakovina Therapeutics, and ImmVue Therapeutics.

You will help identify, clean, prepare, and test datasets; run experiments to evaluate new architectures and tune hyperparameters; continually improve the robustness and efficiency of our existing code base; and apply our pipeline to new drug targets. In this process, you will have the opportunity to build your skills by collaborating with our team of accomplished ML scientists and chemists. Software engineering expertise is required, as well as experience with deep learning and generative models; knowledge of chemistry and pharmacology is preferred be not required.

Here is the background we’re looking for:

• M.S. (Ph.D. preferred) in CS, applied mathematics, statistics, physics, or related discipline;
• Experience with machine learning techniques, including diffusion models, Transformers, and Bayesian optimization, preferably demonstrated through peer-reviewed publications;
• 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;
• Strong background in chemistry or pharmacology; 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. Please send resumes/CVs to [e-mail] .