Sr. Software Engineer • AI BioDesign We are searching for a talented and enthusiastic Sr. Software Engineer to manage the data, data science, and ML training stacks across multiple flywheels. As a member of our close, collaborative team, you will have the freedom to contribute to as much of our code and design processes as you would like. In addition, you can train and develop novel models alongside our AI scientists, based on your interests and skills.
Essential Functions - Build and maintain ML training and evaluation pipelines for ML models across multiple biological modalities
- Design data storage, versioning, and access infrastructure for large-scale, in-house data
- Develop and maintain a model zoo of relevant models
- Working with the director to make/build versus buy decisions on training and data technical stack
- Develop processes to support a lab-in-the-loop training paradigm
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 - A bachelor's degree; or equivalent combination of education and experience
- 5 years of relevant experience
- Experience running/evaluating ML models and building data access APIs
- Familiarity with build processes and CI, such as GitHub Actions
Preferred Education and Experience - Experience deploying AI models in biological or scientific settings
- Experience making build versus buy technical decisions
- Some experience optimizing models for inference
- Some experience debugging ML training pipelines
Physical Demands - Fine motor movements in fingers/hands to operate computers and other office equipment
Position Type / Expected Hours of Work - This role requires onsite work and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 700 Dexter 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 may provide work visa sponsorship
- Please note, this opportunity offers relocation assistance
Annualized Salary Range * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits - 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 .
