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:
Bachelor’s or Master’s degree in Data Science, Machine Learning, or related technical field, or have 4+ years of relevant professional experience
Strong programming skills in Python
Strong experience with one or more of the following: Pytorch, Tensorflow, Jax
Strong understanding of linear algebra, calculus, statistics, and machine learning
Experience in developing advanced machine learning applications
Experience with data analysis, data engineering, and data exploration techniques
Excellent problem-solving, critical thinking skills, and strong engineering fundamentals
Be able to effectively communicate complex topics and algorithms related to your work
Strong oral and written communication skills
Experience with Linux and shell command-line tools
Must be willing to travel for participation in cross-company collaboration
Must be able to work extended hours and weekends as needed on rare occasions
Must be able to obtain a Secret and/or a TS/SCI clearance
Experience working with machine learning in cloud environments (AWS, GCP, Azure, etc.)
Experience with one or more of the following: computer vision, uncertainty quantification, signal processing, computational physics, time series analysis
Experience with one or more of the following platforms: KubeFlow, Blender, Nvidia Omniverse
ITAR Requirements:
This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Benefits
Health Insurance: Comprehensive medical, dental, and vision coverage.
Retirement Plans: Access to a 401(k) plan.
Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.
Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.
Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.
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.
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