Language Technology Engineer

We are seeking candidates who hold an active TS/SCI clearance with a polygraph. You should have a Bachelor’s degree along with at least 8 years of relevant prior experience, or a Master’s degree with at least 6 years of relevant experience. A Doctorate in a technical field is also acceptable. You should possess a minimum of 3 years of experience demonstrating knowledge of Intelligence Community translation fundamentals and standard operating procedures. Recent experience in deploying and training machine learning models is essential. We require individuals who can work autonomously, make sound decisions with minimal supervision, and have experience handling complex and large text and web data. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, along with proficiency in programming languages like Java, Python, C++, and Bash command-line tools, is necessary. You should have knowledge of various machine learning methodologies and frameworks, such as NLTK or SpaCy, and a solid understanding of linguistics, grammar, and the subtleties of human language. Candidates should be able to analyze intricate linguistic challenges and devise innovative technical solutions. Experience and interest in cloud computing solutions, such as Docker and Kubernetes, are preferred. Additionally, you should have the ability to apply cutting-edge machine learning techniques to human language technology challenges, along with excellent written and verbal communication skills to explain complex technical concepts to both lay and expert audiences. Strong interpersonal skills and the ability to collaborate with diverse teams are also essential.