AI/ML Engineer (Multiple)

APEX TK is seeking a highly motivated and skilled Radar Signals Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain. Responsibilities: - Work with our modeling and simulation team to conduct a wide variety of analyses in support of government satellite programs in Earth orbits - Develop new Machine Learning (ML) algorithms for applications such as - Using optical and radar space-surveillance sensors to recognize different types of satellites - Scheduling space surveillance sensor networks to find, recognize and track maneuvering satellites - Deciding what activities satellites should undertake - Algorithm development will include steps such as - Conducting Exploratory Data Analysis (EDA) to identify patterns - Designing, developing, and evaluating machine learning algorithms, including supervised, unsupervised, and reinforcement learning - Building, training, and tuning predictive models - Collaborating with cross-functional teams to identify and solve problems - Implementing and optimizing algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering - Developing High Performance Computing pipelines for scalability and monitoring - Work with satellite designers and operations planners - Work with experts in astrodynamics, sensors, AI/ML, High Performance Computing (HPC) - Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones - Conduct independent trade studies and technical assessments - Review and validate algorithms and results provided by external teams - Develop and present actionable technical briefings Required Qualifications: - 2-10 years of relevant experience. - Bachelor’s Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc. - Active Top Secret/SCI w/ CI Poly Clearance - Experience performing space-related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK - Ability to communicate findings and recommendations to internal and external customers Preferred Qualifications: - Master's degree in a STEM related field. - Experience with other simulation tools and programming languages. - Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.