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AI​/ML Engineer; TS​/SCI CI Poly; S

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: TSG
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: AI/ML Engineer (TS/SCI with CI Poly) {S}

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

Job Category: ENG

Requisition Number: AIMLE
002903

Apply now

  • Full-Time
Locations

Showing 1 location

Aurora, CO 80011, USA

Description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

This is an on‑site position that can be located at either our Aurora, CO or King of Prussia, PA location. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you. We also offer generous relocation benefits for eligible candidates as well as consideration for sign on bonuses consistent with skills and experience levels.

Position Overview:

This position is for an AI/ML Engineer
looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!

Responsibilities:

Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting‑edge AI/ML algorithms in a variety of domains to the mission needs of our customers.

As an AI/ML Engineer, your responsibilities include:

  • Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Analyzing large multi‑domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
  • Using cloud services to train and deploy ML models
  • Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Writing technical documentation supporting code, program capabilities, and user‑guides

Required Qualifications:

  • 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, Tensor Flow, 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
  • BS in machine learning, computer science, mathematics, or relevant fields
  • 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
  • Active TS/SCI with CI Poly U.S. 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…
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