Member of Technical Staff - Applied AI Engineer

About the role

The Applied AI Engineer will contribute to the development and execution of Valthos' research and development roadmap. They will 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. They will also develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks. They will interrogate models to understand their biological learnings, capabilities, and limitations. They will collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data and to create and curate datasets. They will collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure. They will visualize and communicate results within Valthos and externally. They will work with customers and external collaborators to understand their needs and represent Valthos effectively.

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

Requirements

• 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 (required)

• 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

Qualifications (preferred)

Additional qualifications may include:

• 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

Benefits

At Valthos, we offer a competitive compensation package, comprehensive benefits, and a supportive, collaborative work environment. We are committed to fostering a diverse and inclusive workplace where everyone can thrive.

Pay

Competitive salary commensurate with experience and qualifications.

Schedule

Full-time position with flexible working hours.