Software Engineer (Machine Translation)TS/SCI

• 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.

• 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., * 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.

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program

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.