Member of Technical Staff

Responsibilities

• 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.
• 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.
• Apply
• We offer strongly competitive compensation and benefits packages, including:
• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more
• We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
• We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Requirements

• 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.
• You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.
• What sets you apart
• You have experience in computational biology or protein design. You have worked on ML-driven projects in biology.
• You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.

Benefits

Additional Information

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. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.

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Company Intel

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