AI/ML Software Engineer
SFB, Colorado Springs, CO 80930, USA
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop and deliver high-fidelity threat missile modeling software
From the employer’s posting
responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products
What you’ll bring
All qualificationsCore experience
- Active DoD Secret security clearance at time of application
- Programming in Python, R, or other relevant languages
- Experience with TensorFlow, PyTorch, scikit-learn, Keras
- Experience with large language models, generative AI and prompt engineering
Preferred experience
- Experience in Engineering and Aerospace Familiarity with MLOps and deploying models at scale.
Qualification wording
Must have an active U.S. Government DoD Secret security clearance at time of application
Experience with programming in Python, R, or other relevant languages
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
Experience with Large Language Models/Generative AI and Prompt Engineering.
Experience in Engineering and Aerospace Familiarity with MLOps and deploying models at scale. Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models Familiarity with cloud computing platforms such as AWS, Azure, or GCP Familiarity with DevOps practices and tools Experience working with sensitive data and adhering to data privacy regulations Experience in Modeling and Simulation Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling Background with missile system models, atmospheric dynamics, and performance Experience in Agile software development methodologies including Scrum and Kanban
Education & alternatives
ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO. This exciting career opportunity is responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products in support of the Missile Defense Agency (MDA) and MDA’s Missile Defense System (MDS). Basic Qualifications: Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 2 years of relevant experience, or 0 years’ experience with a Maters’ Degree Must have an active U.S. Government DoD Secret security clearance at time of application Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning Experience with programming in Python, R, or other relevant languages Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development Familiarity with Linux operating systems. Preferred Qualifications:
Tools in this posting
- Python
- R
- AWS
- Azure
- GCP
- Keras
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO. This exciting career opportunity is responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products in support of the Missile Defense Agency (MDA) and MDA’s Missile Defense System (MDS). Basic Qualifications: Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 2 years of relevant experience, or 0 years’ experience with a Maters’ Degree Must have an active U.S. Government DoD Secret security clearance at time of application Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning Experience with programming in Python, R, or other relevant languages Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development Familiarity with Linux operating systems. Preferred Qualifications:
Preferred Qualifications: Experience in Engineering and Aerospace Familiarity with MLOps and deploying models at scale. Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models Familiarity with cloud computing platforms such as AWS, Azure, or GCP Familiarity with DevOps practices and tools Experience working with sensitive data and adhering to data privacy regulations Experience in Modeling and Simulation Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling Background with missile system models, atmospheric dynamics, and performance Experience in Agile software development methodologies including Scrum and Kanban
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- May 16, 2026 · 162 days ago
- Recorded sightings
- 514
- Last seen by us
- Oct 16, 2026
- Employer says posted
- Apr 2, 2026
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SFB, Colorado Springs, CO 80930, USA
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