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.