Role overview
- Actively participate in the design, implementation, and refinement 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.
What we're looking for
The base salary range for this position is $168,000-$242,500. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Deep Learning Pytorch Ai