Red Cell Partners
CybersecurityDirect Greenhouse career site

Staff Applied ML Engineer, Federal/National Security

Pay
$180,000 – $240,000 per year
Location
Washington DC Area Preferred, DC (Remote)
Job type
Full-time
Level
Lead / Staff
Listed
31 days ago

Skills & highlights for this role

  • Active Secret clearance
  • LLM fine-tuning
  • RAG
  • model evaluation
  • model inference
  • production AI systems

Also useful

  • edge model deployment

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • 401k match
  • Unlimited pto

About the Role

Red Cell Federal is hiring a Staff Applied ML Engineer to build and deploy production AI systems for federal and national security missions.

You'll work across LLMs, model fine-tuning and adaptation, agentic systems, RAG, evaluation, and inference, helping turn rapidly evolving AI capabilities into reliable software that operates in real mission environments.

This isn't a pure research role, and it isn't an ML infrastructure role removed from users. You'll work alongside Forward Deployed and Software Engineers, occasionally directly with customers, to understand operational problems and determine how models, data, agents, and software can solve them.

Red Cell Federal's platform is being designed to support interchangeable models, including specialized smaller models for edge use cases, and to operate across cloud, on-premise, and edge environments.

What You'll Do

  • Build production LLM-powered applications, AI agents, and agentic workflows
  • Develop and own model evaluation, fine-tuning, adaptation, and experimentation pipelines
  • Determine when to use prompting, RAG, fine-tuning, specialized models, or combinations of these approaches
  • Build rigorous eval systems for model and agent quality, reliability, tool use, and task completion
  • Develop retrieval and context systems across structured and unstructured mission data
  • Optimize models and inference for production environments
  • Deploy and improve models based on real-world performance and user feedback
  • Partner with FDEs and customers to translate mission requirements into production AI capabilities
  • Turn solutions developed for individual deployments into reusable platform capabilities

What We're Looking For

  • Significant experience building ML or AI systems and deploying in production
  • Hands-on experience with modern LLMs and foundation models
  • Deep expertise in several of the following:
  • LLM fine-tuning / model adaptation
  • Model evaluation
  • RAG and retrieval systems
  • Agentic systems and tool use
  • Model serving / inference
  • Embeddings and knowledge retrieval
  • Synthetic data
  • Guardrails and AI reliability
  • Ability to move comfortably between ML experimentation and production engineering
  • Ability to operate independently against ambiguous technical problems
  • Interest in working close to users and seeing how AI performs against real operational workflows

Why This Role

The challenge here isn't proving that an LLM can perform a task. It's figuring out how to make AI reliable enough to use in production, measurable enough to know when it fails, adaptable enough to improve quickly, and practical enough to operate within real national security environments.

  • Red Cell Federal is focused on that "agentic last mile": operationalizing and deploying AI against mission requirements rather than stopping at decision support or prototypes.
  • If you want to work deeply on the models and stay close enough to the problem to see whether what you built actually works, let's talk!

Clearance / Eligibility

Because this role supports federal and national-security customers, U.S. citizenship is required with an Active Secret or Top-Secret Security Clearance.

Location

Washington, DC / Northern Virginia preferred. This role may require regular customer-facing work, including onsite meetings, secure-facility work, or travel depending on program needs.

Salary Range

$180,000-240,000 + bonus + equity. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP

Our Red Cell Partners Benefits

For full-time roles

  • Career track opportunity with potential for rapid advancement with strong performance as the firm grows
  • 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
  • Paid maternity and paternity for 14 weeks at employees' normal pay.
  • Unlimited PTO, with management approval.
  • Opportunities for professional development and continued learning.
  • Optional 401K, FSA, and equity incentives available.
  • Mental health benefits are available through Tara Mind.
  • Cost effective GLP-1 solutions available through Crux.

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.

Read the original posting

From Red Cell Partners's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Staff Applied ML Engineer, Federal/National Security role at Red Cell Partners?

The Staff Applied ML Engineer, Federal/National Security posting at Red Cell Partners states compensation of $180,000 – $240,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Red Cell Partners's official career site.

Where is the Staff Applied ML Engineer, Federal/National Security job at Red Cell Partners located?

Yes, this Staff Applied ML Engineer, Federal/National Security opening at Red Cell Partners is listed as Washington DC Area Preferred, DC (Remote). Always check Red Cell Partners's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Applied ML Engineer, Federal/National Security at Red Cell Partners?

For the Staff Applied ML Engineer, Federal/National Security role, Red Cell Partners highlights experience with LLM fine-tuning, RAG, model evaluation, model inference, production AI systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Applied ML Engineer, Federal/National Security position at Red Cell Partners?

This listing links directly to Red Cell Partners's Greenhouse application page. You can apply directly on Red Cell Partners's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.