Build machine learning models that work in the physical world [~90% of your time]:
Contribute to a careful curation of our training and evaluation data.
Propose and build ML evaluation metrics that align with real world success and company goals.
Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.
Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
Contribute to the maintenance of our compute and ML development infrastructure.
In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
Quickly learn from wet lab results and feedback data to our models.
Stay on top of the latest developments in ML.
Gain a strong working understanding of protein and cell biology.
Participate in knowledge sharing, e.g. organize and present at our internal reading group.
Attend and present at conferences.

Machine Learning Scientist

Key skills