Venture Capital & Private Equity, National Security, Healthcare, Technology

Staff Applied ML Engineer, Federal/National Security

RemoteRemoteFull TimeStaff$180,000–$240,000 /yrPosted 1 month ago

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Required skills

LLMs
foundation models
model fine-tuning
model adaptation
model evaluation
RAG
retrieval systems
agentic systems
tool use
model serving

Nice to have

Forward Deployed Engineers
Software Engineers
customers
program needs
career track opportunity
health care

Role summary

Red Cell Federal is seeking a Staff Applied ML Engineer to develop and deploy production AI systems for federal and national security missions. The role involves working with LLMs, model fine-tuning, agentic systems, RAG, evaluation, and inference to create reliable software for real-world mission environments. Responsibilities include building LLM-powered applications and AI agents, developing evaluation and fine-tuning pipelines, optimizing models for production, and collaborating with engineers and customers to translate mission requirements into AI capabilities. The position requires significant experience in deploying ML systems in production, hands-on LLM expertise, and deep knowledge in areas like fine-tuning, evaluation, RAG, agentic systems, and model serving. A U.S. citizenship and an active Secret or Top-Secret Security Clearance are mandatory. The role is hybrid, located in Washington, DC/Northern Virginia, with a salary range of $180,000-240,000.

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.

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 (may differ for each incubation):

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.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

Managing and administering your application throughout the hiring process;

Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;

Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

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