Artificial Intelligence Machine Learning Engineer 1 - C++/Marian/Java/AWS/PyTorch/Python

📋 Job Overview

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.

🏢 About Captivation

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.

🎯 The Role

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.

✅ Key Responsibilities

• Build, train, fine-tune, and evaluate advanced language models
• Work across the model development lifecycle
• Collaborate with cross-functional teams to deliver high-impact solutions
• Apply state-of-the-art machine learning techniques, specifically for natural language processing (NLP)
• Develop full-stack software applications

📌 Required Qualifications

• 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
• 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
• 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: Extensive experience in machine learning model development, including natural language processing (NLP). Experience with model evaluation, optimization, and performance monitoring. Proven experience in software engineering with strong coding skills. 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)

⭐ Desirable Experience

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

🎁 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

🛂 Visa & Eligibility

• 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