Valthos

Member of Technical Staff - Applied AI Engineer

New York · Staff+

Sponsorship not specifiedDetected 327 days ago

PythonDistributed SystemsAWSMachine LearningDeep LearningPyTorchStatisticsBioinformaticsResearch

About the role

Contribute to crafting and executing on the Valthos-wide research and development roadmap
Interrogate models to understand their biological learnings, capabilities, and limitations
Visualize and communicate results within Valthos and externally

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
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

Experience with data-centric development and evaluation of ML models
Experience with cloud computing platforms (e.g., AWS) and distributed systems
Strong understanding of probability and statistics
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
Highly proficient in Python and deep learning libraries (e.g., PyTorch)
Proven ability to design, implement, and evaluate new ideas in ML
Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
Experience building data pipelining and training infrastructure
Contributions to open-source projects

Work with customers and external collaborators to understand their needs and be an effective representative of Valthos

This listing is sourced directly from Valthos's careers page and normalized into a canonical job model.