Biological AI Research Engineer

7 days ago


Palo Alto, California, United States Arc Institute Full time

The Arc Institute is a scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. We are searching for an experienced machine learning research engineer focused on building biological foundation models.

About the position

We are seeking a collaborative machine learning research engineer to contribute to the development and application of Arc's frontier DNA foundation model (Evo), Arc's Virtual Cell Initiative, and other projects in the context of Institute-wide machine learning efforts.

About you

- You are an innovative machine learning engineer with experience in training and evaluating large deep learning models.

- You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks.

- You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.

- You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.

In this position, you will

- Contribute to optimization and scaling of state-of-the-art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems.

- Engineer large-scale distributed model pretraining and pipelines for efficient model inference.

- Enable robust systematic evaluation of trained models.

- Stay up-to-date with the latest advancements in technologies for large-scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state-of-the-art.

- Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.

- Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).

- Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.

- Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.

Estimated salary: $163,950 - $234,550 per year.



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