Applied AI EngineerThe 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
- Develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks
- Interrogate models to understand their biological learnings, capabilities, and limitations
- Collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data, and to create and curate datasets
- Collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure
- Visualize and communicate results within Valthos and externally
- Work with customers and external collaborators to understand their needs and be an effective representative of Valthos
- Embrace learning about areas-technical and non-technical-across Valthos
- Stay up-to-date on the state-of-the-art methods at the intersection of AI and biology
Qualifications (required)- 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
Qualifications (preferred)- 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
- Experience working with biological data or other types of noisy and heterogenous datasets
- Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
- Experience building data pipelining and training infrastructure
- Contributions to open-source projects
If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.
