Artificial Intelligence Machine Learning Engineer 2

Captivation Software•Annapolis Junction, MD

About The Position

Captivation Software is seeking a mid-level AI/ML engineer to design, create, test, and productize AI/ML algorithms that address business challenges. The role includes researching and implementing a broad range of AI/ML algorithms and tools, transforming data science prototypes into scalable solutions, and helping ensure models and systems meet verification and validation requirements. This position is open to direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Requirements

  • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph.
  • Must be a U.S. citizen.
  • At least five years of experience deploying machine learning algorithms.
  • A master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
  • Five additional years of machine learning experience with a relevant bachelor's degree may substitute for a master's degree.
  • Demonstrated abilities in software engineering and AI/ML model testing and evaluation.

Responsibilities

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms and use the 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 iterative testing and evaluation of AI and ML algorithms to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modeling, 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.

Benefits

  • Up to 20% 401(k) contribution; matching is not required, and contributions are vested from day one.
  • Above-market hourly rates.
  • $3,600 HSA contribution.
  • Six weeks of paid time off.
  • Company-paid employee medical, dental, and vision insurance.
  • Company-paid life insurance.
  • Company-paid short-term and long-term disability insurance.
  • Company-paid AD&D insurance.
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