Director, AI / ML Infrastructure

Director, AI / ML Infrastructure - Office of the CTO

The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.

The mission of the Office of the Chief Technology Officer (CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI.

We are seeking an independent and motivated AI / ML Infrastructure Architect to work in the Office of the CTOs AI Applications group. Reporting to the CTO, this position will work closely with AI researchers, scientists and engineering teams to build the computational infrastructure to support large AI / ML models for Biology. The role is also expected to work collaboratively across all of the Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.

Essential Functions

• Develop and lead a cloud-agnostic state-of-the-art engineering infrastructure at the Allen Institute to support AI / ML research and applications. Procure and deploy GPUs to meet computational demands. Coordinate infrastructure implementation with external partners
• Lead data management, software infrastructure and AI / ML workflow best practices and policies
• Manage and lead a team of engineers
• Develop and implement policies and software for efficient management, prioritization, and scheduling of AI workloads
• Implement Cost Tracking and Reporting for transparency and prevent overruns
• Collaborate with science unit teams to facilitate adoption and use of the new AI pipeline by providing training and support to accelerate the adoption process. Ensure integration of AI infrastructure with existing platforms
• Develop and oversee a governance framework to ensure use of GPU resources align with the institutes scientific priorities. Regularly review and adjust resource allocation based on governance inputs
• Help establish community standards for scalability in developing, disseminating, and evaluating AI / ML / computational methods for scientific problems
• Participate in institute-wide initiatives, workshops, and seminars to promote engineering excellence through technical leadership, cross-disciplinary collaboration and knowledge sharing

Required Education And Experience

Preferred Education And Experience

Physical Demands

Position Type / Expected Hours of Work

Travel

Additional Comments

Annualized Salary Range

$209,550 - $274,950

Benefits

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and / or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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