Deep Learning Model Developer
3 days ago
We are seeking an experienced machine learning research engineer to join our team at Arc Institute in Palo Alto, California. As a researcher in our institute, you will contribute to the development and application of Arc's frontier DNA foundation model (Evo) and Arc's Virtual Cell Initiative.
About the position
This role requires an experienced machine learning research engineer with a strong background in training and evaluating large deep learning models. The ideal candidate will be able to work closely with a multidisciplinary team of computational and experimental biologists to achieve breakthrough capabilities in biological prediction and design tasks.
About you
- You are an innovative machine learning engineer with a passion for applying machine learning to real-world problems in biology.
- You are a collaborative team player with excellent communication skills and a strong ability to translate complex technical concepts to researchers outside of your domain.
- You are a continuous learner, always looking for ways to improve your skills and knowledge in machine learning and biology.
In this position, you will
- Contribute to the development and application of Arc's frontier DNA foundation model (Evo) and Arc's Virtual Cell Initiative.
- 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).
Estimated salary: $163,950 - $234,550 per year.
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