Member of Technical Staff - Applied AI Engineer

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
• 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)