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Turion SpaceCA, United States- Full-time
Machine Learning Engineer
Department : Payload R&D
Employment Type : Full Time
Location : Irvine, California
Reporting To : Jackson Parker
Compensation : $110,000 - $120,000 / year
Description
The Machine Learning Team concentrates on developing and implementing novel machine learning algorithms for solving trailblazing problems in the developing new space economy. These include but are not limited to, Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.
As a Machine Learning Engineer, you will innovate upon existing capabilities, assimilate current research, implement state-of-the-art algorithms, productionize models, develop MLOps solutions, and work with end-users to integrate solutions.
Expected start date : January 2025
Key Responsibilities
- Design, develop, and validate algorithmic solutions which are highly reliable and scalable
- Research and identify useful algorithms for challenging space-based applications
- Optimize the runtime performance of existing implementations
- Interface with end-users and partners in Colorado Springs' collaborative environments
- Integrate current and future machine learning solutions into production pipelines
- Contribute to team discussions, providing insight and feedback to collectively drive innovation across several related projects
Qualifications
Minimum Qualifications :
Preferred Skills and Experience
ITAR Requirements :
Benefits
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin / ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application / interview process should notify the Human Resources Department.