AI/ML Engineer (Multiple)

APEX TK LLC; Chantilly (VA); On-site; USD 110,000 - 190,000; Full time

Job summary

APEX TK LLC is seeking a Radar Signals Engineer to advance government satellite programs in Earth orbits. You will work with modeling and simulation, develop ML algorithms for space-surveillance sensors, and schedule sensor networks for tracking maneuvering satellites.

Responsibilities include EDA, designing ML models, building HPC pipelines, and presenting technical briefings. APEX TK offers collaboration with astrodynamics experts and cross-functional teams in a cutting-edge aerospace setting.

Qualifications

• 2–10 years of relevant experience in radar/space engineering.
• Active Top Secret/SCI w/ CI Poly clearance.
• Experience performing space-related engineering analysis using Python, C++, R, SQL, MATLAB, Linux or STK.
• Excellent ability to communicate findings and recommendations.

Responsibilities

• Collaborate with modeling and simulation team for Earth orbit simulations.
• Develop ML algorithms for satellite surveillance tasks and sensor networks.
• Perform Exploratory Data Analysis to identify patterns in space data.
• Design, train, evaluate ML models and optimize algorithms for anomaly detection and classification.
• Produce actionable technical briefings and coordinate with cross-functional teams.
• Review results from external teams and contribute to system design discussions.

Skills

Python

C++

ML concepts

Data analysis

Communication

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

STK

MATLAB

SQL

PostgreSQL

Linux

R

VBA

Job description

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.