Qualifications
- Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required.
- Proficiency in Python
- Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
- Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
- Strong mathematical fundamentals in linear algebra, statistics, and probability
- Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
Additional requirements
- Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
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