Machine Learning Engineer
Variational AI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonPyTorch
About the role
- Help run experiments to evaluate new architectures and tune hyperparameters
- Continually improve the robustness and efficiency of our existing code base
- Identify, clean, prepare, and test datasets
- Apply our pipeline to new targets, to help develop novel drugs
- Collaborate with our team of accomplished ML scientists and chemists
Requirements
- 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 of experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.
- Mastery of Python and PyTorch
- Intellectual curiosity and drive to excel.
Benefits
- Compensation is a competitive mix of cash and options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdiffusion modelsTransformersBayesian optimizationPythonPyTorchcode reviewrefactoringunit testingversion control
Soft skills
intellectual curiositydrive to excel
Certifications
M.S.Ph.D.