Applied Machine Learning Scientist jobs in United States
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Variational AI · 5 months ago

Applied Machine Learning Scientist

Variational AI is searching for an applied machine learning scientist to join them in their quest to radically accelerate the development of new drugs through machine learning excellence. The role involves running experiments, improving code robustness, preparing datasets, and collaborating with a team of ML scientists and chemists.

Artificial Intelligence (AI)BiotechnologyGenerative AIMachine Learning

Responsibilities

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

Qualification

Machine LearningDeep LearningPythonPyTorchCode DevelopmentDiffusion ModelsTransformersBayesian OptimizationIntellectual CuriosityCollaboration

Required

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

Preferred

Knowledge of chemistry and pharmacology

Company

Variational AI

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Generative AI for drug discovery

Funding

Current Stage
Early Stage
Total Funding
$9.16M
Key Investors
Nimbus Synergies Inc.Flying Fish PartnersUBC Seed Fund
2025-02-20Seed· $5.5M
2021-11-17Seed· $3.5M
2020-01-30Pre Seed· $0.16M

Leadership Team

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Handol Kim
Chief Executive Officer
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Company data provided by crunchbase