Leidos · 6 hours ago
Human Language Technology Developer
Reston, VA
Full-time
Onsite
Mid, Senior Level
$92K/yr - $167K/yr
6+ years expLeidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. The Human Language Technology Developer will perform day-to-day HLT tasks as part of a large language services program, ensuring that the HLT project aligns with technical requirements and goals while providing leadership in developing AI and HLT solutions.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop applications and/or APIs to improve workflow and integrate new resources into existing HLT tools
Design bespoke technical solutions to process challenging or unfamiliar data types
Research, develop, evaluate, and integrate Human Language Technology (HLT) capabilities
Provide technical leadership to cross-functional teams in developing AI and HLT solutions
Analyze language processing needs and recommend innovative solutions for cost and labor efficiency
Innovate and prototype HLT systems or components based on priority workflow and operational mission needs
Evaluate technology solutions in the context of mission data and workflow needs, providing actionable recommendations
Convey complex ideas to non-technical audiences through briefings and/or white papers
Lead projects or small teams to solve complex HLT problems for the customer and PMO
Be a leading voice on HLT within the customer and Leidos organization
Be an HLT mentor to all new program employees
Integrate Leidos technology to program HLT efforts as appropriate
Work across the program and with the customer to ensure consistent, quality translation, interpretation, and transcription support through HLT initiatives in CONUS and OCONUS locations
Qualification
Required
Active TS/SCI with Polygraph
BS degree and at least 8 years of prior relevant experience or Masters with at least 6 years of prior relevant experience. May possess a Doctorate in technical domain
3+ years of demonstrated knowledge of IC translation fundamentals and standard operating procedures
Recent experience deploying and training machine learning models
Proven ability to work independently and make good decisions with minimal direction
Experience working with complex and large text and web data
Experience working with deep learning tools, like PyTorch or TensorFlow
Experience with programming languages such as Java or Python, C++/Java, bash command-line tools
Knowledge of various machine learning methodologies and frameworks like NLTK or SpaCy
Solid understanding of linguistics, grammar, syntax, and the nuances of human language
Ability to analyze complex linguistic challenges and develop creative, technical solutions
Experience/interest in working with cloud computing solutions (Docker, Kubernetes, etc.)
Knowledge of and experience in prototyping/developing human language technology components/systems
Ability to apply state-of-the-art machine learning techniques to human language technology processing challenges
Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
Strong interpersonal and cross-cultural communication skills to collaborate with diverse teams and users
Preferred
Basic proficiency in one or more foreign languages
Experience in greenfield software development, building APIs and software development
Experience training machine translation engineers and/or OCR language models
Experience modifying open-source code to fit specific use cases
Knowledge of how to design and build containers for deploying software across diverse system environments
Experience working within the IC
Proficiency or familiarity with JAVA script or JSON
Benefits
Health and Wellness programs
Income Protection
Paid Leave
Retirement
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Amy Smith
Senior Vice President, Government Affairs
Recent News
MarketScreener
2025-12-16
2025-12-16
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