Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions, providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA, and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com. About the role: Position Summary: This role bridges the gap between linguistic theory and practical AI applications. The NLP Engineer is responsible for designing, developing, and deploying robust and scalable natural language processing (NLP) systems. This involves recognizing NLP tasks, defining clear annotation guidelines, selecting appropriate technologies, and integrating them into larger software applications. What you will do: The ideal candidate will write high-quality, maintainable code, enhance and optimize NLP models, and collaborate with product managers and stakeholders to translate project requirements into technical solutions. They will implement linguistic theories into practical, innovative text analytics and AI-driven features. What you will bring: Bachelor's degree in Computer Science, Linguistics, or a related field. 2-4 years of experience in NLP, software development, or related roles. Proficiency in Python and NLP/AI libraries/frameworks such as Langchain, Pydantic AI, Hugging Face Transformers, PyTorch, or TensorFlow. Strong understanding of software architecture, data structures, and design patterns. Experience in data annotation, guideline design, and data quality evaluation, preferably in linguistics. Experience integrating NLP models into production environments and with cloud services (AWS, Azure, Google Cloud). Excellent communication skills to explain complex concepts to diverse audiences. Ability to independently solve problems by evaluating factors, devising solutions with limited information, and adapting approaches, with work reviewed at critical points. Benefits at Babel Street: Health Benefits: Coverage of 85-100% of monthly premiums for Medical, Dental, Vision, Life & Disability insurances for employees and their families. Retirement Plans: Traditional and Roth 401(K) with competitive matching. Unlimited Flexible Leave: Manage your own time to balance personal and work life. Holidays: 12 paid Federal Holidays. Tuition Reimbursement: Support for continuing education through our Tuition Reimbursement Program. Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also provide reasonable accommodations for qualified employees with disabilities, upon request. Range for this position based on qualifications and experience: $115,000—$135,000 USD

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