Machine Learning Engineer, Modeling & Simulation ML, AI 🏆

Machine Learning Engineer, Modeling & Simulation 💰 Salary: $150,000 - 200,000 per year

At SAIC we are looking for a ML, AI engineer!

🛠️ Our tech stack: AI, Support, Machine Learning, Matlab, Python, numpy, pandas, Machine-Learning

📝 Rquirements: - Bachelors or Masters degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related discipline with 12+ years of professional technical experience - 3+ years of experience in modeling and simulation for aerospace or space systems - Active Top Secret/SCI w/Poly Clearance - Strong comprehension of sensor phenomenology, including optical, infrared, or radar systems, and their modeling techniques - Intermediate proficiency in Python programming, with practical experience in data manipulation, automation, and the development of Python-based solutions, including knowledge of libraries like NumPy, SciPy, pandas, and matplotlib - Capability to convey technical results effectively in both written and verbal forms

👩‍💻👨‍💻 Your responsibilities are: - Create and uphold physics-based simulation models for spacecraft systems, which include structures, sensors, and mission environments - Execute end-to-end performance modeling for satellite missions, incorporating sensor, orbital, and environmental models - Carry out sensor phenomenology studies, such as optical, infrared, or radar modeling for detection, tracking, and signature analysis - Conduct orbital mechanics modeling, including orbit determination, orbital maneuvering, and spacecraft flight dynamics - Utilize scripting languages such as Python or MATLAB to automate workflows, conduct data analysis, and interface between simulation tools - Employ Artificial Intelligence/Machine Learning techniques to boost simulation fidelity and performance - Develop AI/ML models to assess and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data - Design and execute algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations - Analyze data using statistical and machine learning techniques to identify patterns and glean insights relevant to satellite systems - Incorporate AI/ML models into existing simulation frameworks and tools to enhance their functionality

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Category: ML, AI Developer / Engineer Location address: Lee Road 14672, Arlington, United States

Salary: $150,000 - 200,000 per year

Benefits & perks that we offer:

SAIC - More about us and the role: We are SAIC, a leading technology integrator dedicated to providing comprehensive life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology sectors. With around 15,000 employees, we pride ourselves on our integrity and commitment to mission focus, serving customers in the U.S. federal government. Our headquarters is located in Reston, Virginia, and we generate annual revenues of approximately $4.5 billion. We offer a dynamic work environment and are committed to advancing ingenuity and delivering innovative systems engineering and integration solutions for large-scale projects.

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