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AI​/ML Engineering Manager; TS​/SCI; S

Job in Aurora, Kane County, Illinois, 60505, USA
Listing for: ARKA Group, LP
Full Time position
Listed on 2025-10-08
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Staff AI/ML Engineering Manager (TS/SCI) {S}

2 days ago Be among the first 25 applicants

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!



Position Overview

This position is for an AI/ML Engineering Manager. ARKA-Mission Applications is seeking a talented and motivated AI/ML Engineering Manager to join our growing team. This is a unique player/coach role designed for an experienced AI/ML engineer who is passionate about both researching, building, developing AI/ML applications and leading people. You will be responsible for managing and mentoring a team of skilled AI/ML researchers and engineers while also actively apply cutting-edge AI/ML algorithms in a variety of domains to meet the mission needs of our customers.

You'll split your time effectively between guiding your team's success and rolling up your sleeves to wrangle data, write code, build and train models, solve complex technical challenges, and contribute directly to our AI/ML portfolio.

We offer generous relocation benefits for eligible candidates.

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.

Responsibilities

Management & Leadership (Approx. 25% on average):

  • Lead & Mentor:
    Manage, coach, and mentor a team of AI/ML engineers, fostering their technical and professional growth, by providing career advice and helping with program technical guidance. Additionally, you will work with the greater AI/ML engineering group to cultivate a positive, collaborative, inclusive, and high-performing team that is focused on bringing modern AI/ML development practices and robust engineering principles across all ARKA programs.
  • Performance Management:
    Conduct regular 1:1 bi-weekly meetings with your team, provide feedback on both technical and non-technical topics, assist with setting clear goals, and manage performance reviews for your direct reports.
  • Collaboration:

    Work closely with AI/ML engineering organization and other engineering leadership to align priorities, define requirements, and ensure successful project delivery across programs.
  • Project Oversight:
    Help manage project priorities, timelines, and deliverables for your team, identifying and removing roadblocks.
  • Hiring & Onboarding:
    Participate in the recruitment, interviewing, onboarding, and retention of engineering talent for your team and the broader organization. Additionally works closely with engineering leadership to align current and new staff skillsets with program needs over time.
Technical Contribution (Approx. 75% on average)

  • Hands-on AI/ML Development:
    Actively participate in the end-to-end machine learning lifecycle, contributing high-quality, well-tested, and maintainable code for data pipelines, model training, evaluation, and deployment to key AI/ML projects using our tech stack.
    • Proven proficiency in Python, including experience with key machine learning libraries (e.g., Tensor Flow, PyTorch, Scikit-learn, Pandas, Num Py).
  • ML System Design & Architecture:
    Contribute to technical design discussions and architectural decisions for scalable and robust machine learning systems, including data pipelines, model training infrastructure, serving layers, and MLOps frameworks.
  • Code & Model Quality:
    Actively participate in code reviews, ensuring adherence to coding standards, MLOps best practices, and high-quality engineering principles, specifically for machine learning models and infrastructure (e.g., reproducibility, testability, explainability).
  • Stay Current and Mentor:
    Keep abreast of cutting-edge machine learning research, algorithms, MLOps tools, and cloud AI/ML services, advocating for their strategic adoption. Leverage this continuous learning to…
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