Machine Learning Scientist

Job summary

THE OPPORTUNITY We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases.

Benefits

Qualifications

• We are looking for a highly skilled machine learning researcher with significant experience in generative modeling.
• WHO YOU ARE
• You are a strong ML researcher with experience in generative modeling.
• You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g.
• You have a proven track record of deep expertise in generative modeling.
• You are a skillful ML developer.
• You have experience using version control and code review systems.
• You are a fast prototyper and hacker who can also write beautiful production code.
• You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.
• You are a data engineer.
• You have experience building ML data pipelines for the training and evaluation of deep learning models.
• You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.

Responsibilities

• You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases.
• In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.
• 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.
• Self development [~10% of your time]:
• Stay on top of the latest developments in ML.

Degrees

Travel

Industry

Company size