# Member of Technical Staff - Applied AI Engineer - Company: [Valthos]() - Location: New York · San Francisco - Team: Engineering - Employment type: Full Time - Posted: August 29, 2025 ## Job description # Applied AI Engineer *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. ## 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) * 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. ## Apply [Apply on Valthos]() Canonical job page: