Member of Technical Staff - Applied AI Engineer jobs in United States
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Valthos · 4 months ago

Member of Technical Staff - Applied AI Engineer

Valthos is an applied biological intelligence company that builds and deploys software and biological AI systems to safeguard humanity. They are seeking a highly skilled AI Engineer to develop and apply state-of-the-art ML methods for assessing biological threats and designing precision biologics.

Artificial Intelligence (AI)

Responsibilities

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

Qualification

Data-centric ML developmentPythonDeep learning librariesCloud computing (AWS)ProbabilityStatisticsBiological data experienceML-centric bioinformaticsOpen-source contributionsTime series modelingReasoning agents

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

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

Company

Valthos

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Valthos builds next-generation biodefense.

Funding

Current Stage
Early Stage
Total Funding
$30M
2025-10-24Seed· $30M
Company data provided by crunchbase