Backed by Lux.
About the role
Contribute to crafting and executing on the Valthos-wide research and development roadmap Develop, build, and apply modeling approaches—including adapting and post-training biological frontier models—for tasks in biological security and the design of precision biologics
What they're looking for
- Experience with data-centric development and evaluation of ML models
- Highly proficient in Python and deep learning libraries (e.g., PyTorch)
- Experience with cloud computing platforms (e.g., AWS) and distributed systems
- Strong understanding of probability and statistics
- Proven ability to design, implement, and evaluate new ideas in ML
- Experience with pre- or post-training language models, developing reasoning agents, and/or time series modeling
More about this role
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking a highly skilled, data-centric AI Engineer to develop and apply state-of-the-art ML methods for assessing and responding to biological threats and for rapidly designing precision biologics.
Contribute to crafting and executing on the Valthos-wide research and development roadmap
Develop, build, and apply modeling approaches—including adapting and post-training biological frontier models—for tasks in biological security and the design of precision...
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