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.