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.

Summary

Develops machine learning algorithms for satellite recognition, sensor network scheduling, and satellite activity decisions using Python, C++ and related tools. Requires 2-10 years of relevant experience, a bachelor's degree in a STEM field, and an active Top Secret/SCI clearance with CI polygraph.

Responsibilities

Conduct satellite program analyses; develop ML algorithms for satellite recognition, sensor scheduling, and satellite activity decisions; EDA; model training/tuning; HPC pipelines; trade studies; validate external algorithms; present technical briefings.

Qualifications

2-10 years relevant experience; Bachelor's in STEM; active Top Secret/SCI with CI Poly clearance; space-related engineering analysis using C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK; ability to communicate findings. Preferred: Master's in STEM; other simulation tools/programming languages; phenomenological models experience.

Education requirements

Bachelor's Degree in a STEM related field; Master's preferred.

Experience requirements

2-10 years of relevant experience.