Artificial Intelligence Machine Learning Engineer 3

Captivation Software•Annapolis Junction, MD
•$130,000 - $270,000

About The Position

Captivation Software is seeking a senior-level AI/ML engineer to design, create, test, and productize AI/ML algorithms that solve business challenges. The role involves researching and implementing AI/ML algorithms and tools, developing and evaluating models, and turning data science prototypes into scalable solutions. The engineer will oversee system integration and iterative testing of AI/ML algorithms to meet verification and validation requirements, including explainability and resiliency.

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 10 years of experience deploying machine learning algorithms.
  • A Master's or Ph.D. in advanced mathematics, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
  • Seven 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.
  • Demonstrated understanding of software architecture, data modeling, and data structures.
  • Deep understanding of AI logic, semantics, ontologies, and knowledge representation.
  • Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures.

Responsibilities

  • 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/ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI/ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.
  • Develop test and evaluation criteria, including explainability and resiliency.
  • Design ML algorithms according to customer requirements.
  • Research, experiment with, and implement suitable ML algorithms and tools.
  • Broaden current AI/ML frameworks and machine learning libraries.

Benefits

  • Up to 20% 401(k) contribution, with no matching required and vesting 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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