Artificial Intelligence Machine Learning Engineer 2
About the job
- Five years of experience deploying machine-learning algorithms is required.
- A Master's or Ph.D. degree in advanced mathematics, artificial intelligence, data science, computer science, or deep learning from an accredited college or university is required.
- Five additional years of machine-learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
- Demonstrated abilities in software engineering and AI/ML model testing and evaluation are required.
- Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph; candidates must be U.S. citizens.
- Select appropriate data sets.
- Perform statistical analysis.
- Run machine-learning algorithms.
- Use results to improve models.
- Train and retrain systems when needed.
- Work with various machine-learning libraries and packages.
- Run standard test and evaluation protocols.
- Provide system integration oversight.
- Oversee testing and evaluation of AI and machine-learning algorithms through an iterative design process to meet verification and validation requirements.
- Research and implement a broad range of AI and machine-learning algorithms and tools.
- Design or select appropriate data and knowledge representation methods.
- Recognize software architecture, data modelling, and data structures.
- Transform and convert data science prototypes into scalable solutions.
- Verify data and model output quality.
- Identify differences in data distribution that affect model performance.
About the company
Captivation builds digital software for mission makers by delivering engineering services across a wide range of disciplines. The work is collaborative, with teams that move quickly like a small business and take pride in what they develop. The company emphasizes transparency, a flat organizational structure, and a developer-focused culture, which enables engineers to work directly and iteratively with clients. Compared with larger firms, Captivation differentiates itself through its focus on timely delivery, practical problem solving, and actively pursuing challenging projects for the Intelligence Community, using modern software technologies. The goal is to produce solutions that clients value, on time, while growing the team and empowering its engineers to take ownership of their work.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Columbia, Maryland
Founded
2014
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Simplify's Take
What believers are saying
- Greenhouse showed 72 openings in October 2026, signaling sustained program demand.
- Recent roles target AI/ML, Rust, cloud, and 508 accessibility modernization.
- Federal award history and active hiring suggest sticky relationships with cleared government customers.
What critics are saying
- Captivation's dependence on classified Annapolis Junction programs creates single-contract revenue shock risk.
- TS/SCI polygraph hiring shrinks the talent pool and slows scaling across 72 openings.
- A 2025-2026 contract loss could force rapid headcount cuts and damage clearance trust.
What makes Captivation unique
- Captivation serves TS/SCI-cleared mission software for DoD, USCYBERCOM, and DISA.
- Its 72-job 2026 slate spans DSP, AI, Kubernetes, and geospatial reporting tools.
- Direct-hire, developer-owned culture with 20% 401k and six weeks PTO differentiates recruiting.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- Health Savings Account/Flexible Spending Account
- Unlimited Paid Time Off
- 401(k) Retirement Plan