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AI/ML Engineer (TS/SCI with CI Poly) {S}

LinkedIn ARKA Group, LP King of Prussia, PA
Not Applicable Posted April 2, 2026 Job link
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Requirements
  • Writing technical documentation supporting code, program capabilities, and user-guides
  • Effective communicator with the ability to write and present technical reports
  • Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
  • Experience with one or more of the following:
  • Applying unsupervised and/or supervised machine learning techniques
  • Applying and/or developing algorithms based in statistical analysis
  • Analyzing large datasets and building models to perform inference
  • 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
  • Active TS/SCI with CI Poly U.S.
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following AI/ML domains:
  • Large Language Models and experience identifying ways to incorporate them into new areas and applications
  • Object detection algorithms such as YOLO and Faster-RCNN
  • Natural Language Processing algorithms such as Transformers and RNNs
  • Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
  • Generative Adversarial Networks and Variational Autoencoders
  • Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
  • Applying clustering algorithms and/or deep neural networks to real life problems
  • Implementing tracking & fusion and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: C++, Java, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience working with various Remote Sensing datasets (e.g.
  • EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals Location:
Preferred Skills
  • Government Security Clearance Preferred Qualifications
  • MS or PhD in machine learning, computer science, mathematics, or relevant fields
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following AI/ML domains:
  • Large Language Models and experience identifying ways to incorporate them into new areas and applications
  • Object detection algorithms such as YOLO and Faster-RCNN
  • Natural Language Processing algorithms such as Transformers and RNNs
  • Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
  • Generative Adversarial Networks and Variational Autoencoders
  • Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
  • Applying clustering algorithms and/or deep neural networks to real life problems
  • Implementing tracking & fusion and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: C++, Java, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience working with various Remote Sensing datasets (e.g.
  • EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals Location:
Education
  • (Not required) – BS in machine learning, computer science, mathematics, or relevant fields
  • (Not required) – Active TS/SCI with CI Poly U.S.
  • (Not required) – MS or PhD in machine learning, computer science, mathematics, or relevant fields