Feeny
Captivation Software

Artificial Intelligence Machine Learning Engineer 1 - C++/Marian/Java/AWS/PyTorch/Python at Captivation Software (Annapolis Junction, MD)

Captivation Software· Annapolis Junction, MD·

Role details

Level
Entry level

Job description

Build to something to be proud of.

Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.

Description

Captivation Software is looking for a mid level AI/ML engineer who will be responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.

Requirements

Security Clearance:

  • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications:

  • 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required
  • A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required
  • 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Required Skills:

  • Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Expertise in model training, evaluation, and deployment.
  • Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
  • Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
  • Solid understanding of data structures, algorithms, and system design.
  • Experience & Background: o Extensive experience in machine learning model development, including natural language processing (NLP). o Experience with model evaluation, optimization, and performance monitoring. o Proven experience in software engineering with strong coding skills. o Experience working in a government or defense-related environment is highly preferred.
  • Experience with model versioning and management using tools such as MLFlow or Git.
  • Familiarity with containerization tools (i.e. Kubernetes).

Desired Skills:

  • Experience with secure data handling and compliance requirements
  • Experience working with Large Language Models (LLMs)

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Benefits

  • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
  • Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
  • Above Market Hourly Rates
  • $3,600 HSA Contribution
  • 6 Weeks Paid Time Off
  • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

Why work at Captivation Software

  • Culture: Described as a "small, developer-oriented company" with a "progressive attitude" and a "flattened company structure." The company values transparency and empowers its team.
  • Remote/Hybrid/Office Policy: Primarily on-site/in-office work at their Columbia, MD, Annapolis Junction, MD, and Baltimore, MD locations. Some hybrid roles are available (e.g., AI Engineer).
  • Notable Perks:
    • Up to 20% 401(k) Employer Contribution (NO MATCH REQUIRED).
    • $3,400 HSA Contribution.
    • Company-Paid Medical, Dental, and Vision Insurance.
    • Company-Paid Life and Disability Insurance.
    • Flexible Paid Time Off (PTO).
    • Learning & Development Program (Udemy).
    • Free snacks and drinks.
    • Performance bonuses.
    • Generous parental leave.
  • Engineering Culture: Employees work with modern tech stacks (AWS, Kubernetes, Docker, Python, Java, etc.) on meaningful mission-critical problems. The company encourages open-source contributions.

Application questions