Software Engineer (Machine Translation)TS/SCI with Poly)

SOLERITYFORT MEADE, MD
$170,000 - $175,000Hybrid

About The Position

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation’s most critical Signals Intelligence (SIGINT) and cybersecurity missions. Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics. The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, or other STEM field.
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines.
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required.
  • Strong experience working in research and development environments.
  • Hands-on experience with machine learning and machine translation technologies.
  • Solid understanding of encoder-decoder transformer architectures.
  • Experience with modern text processing pipelines and natural language processing systems.
  • Understanding of text embeddings and vector-based representations.
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models.
  • Ability to evaluate and compare machine translation architectures and approaches.
  • Experience developing AI/ML solutions using Python and C/C++.
  • Experience with Docker for containerized development and deployment.
  • Ability to propose and implement improvements to AI/ML systems and workflows.

Nice To Haves

  • Experience working in Intelligence Community or SIGINT-focused environments.
  • Strong research background in machine translation or natural language processing.
  • Experience developing or fine-tuning transformer-based AI models.
  • Experience with distributed computing or large-scale model training environments.
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings.

Responsibilities

  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation.
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications.
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions.
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges.
  • Contribute to the design and implementation of machine translation pipelines and text processing systems.
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing.
  • Analyze and improve encoder/decoder transformer architectures and related AI systems.
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy.
  • Support integration and deployment of AI solutions within secure operational environments.
  • Build and maintain containerized applications using Docker for model deployment and testing.
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions.
  • Propose enhancements to machine translation systems and end-to-end data processing flows.
  • Document research findings, methodologies, and technical implementations.
  • Additional duties may be assigned.

Benefits

  • Medical, dental and vision coverage
  • Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
  • Flexible work schedule to include onsite, hybrid or remote, as dictated by position
  • 401(k) and company-funded life insurance
  • Generous Paid Time Off (PTO)
  • Tuition and training assistance
  • Financial rewards for employee referrals.
  • Pet insurance
  • Employee discount program
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