We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Design and develop state-of-the-art autoregressive, diffusion and representation learning models for protein design

Collaborate across the machine learning and protein design teams to apply, adapt and improve pretraining techniques from other domains to biomolecular deep learning models

Architect, implement, and optimize core infrastructure to support the pretraining of protein language models

Curate relevant datasets and design tasks for rigorous evaluation of generative models

Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings

Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Machine Learning Scientist, Pretraining

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Profluent

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