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Director, AI / ML Infrastructure
Director, AI / ML InfrastructureClearCompany Talent Management Software • Seattle, WA, United States
Director, AI / ML Infrastructure

Director, AI / ML Infrastructure

ClearCompany Talent Management Software • Seattle, WA, United States
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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 CTO’s 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.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.

We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

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
  • Manager 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 institute’s 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

Note : Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education and Experience

  • Bachelor’s Degree in Computer Engineering or related technical field or equivalent experience
  • 7 years of experience working with MLOps in medium to large scale GPU clusters and / or cloud based ML deployments
  • Preferred Education and Experience

  • Experience with building, deploying and maintaining machine learning models
  • Proficiency with cloud computing (AWS, GCP or Azure) and with on-prem clusters
  • Experience with databases, large data management
  • Working knowledge of AI / ML custom libraries, AI / ML execution platforms
  • Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines
  • Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment
  • Physical Demands

  • Fine motor movements in fingers / hands to operate computers and other office equipment
  • Position Type / Expected Hours of Work

  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
  • Travel

  • Attendance and participation in national and international conferences as appropriate
  • Additional Comments

  • Please note, this opportunity offers relocation assistance
  • Please note, this opportunity may offer work visa sponsorship
  • Annualized Salary Range

    $209,550 - $274, 950

  • Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide : https : / / alleninstitute.org / careers / 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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