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. 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 not only recognizing NLP tasks and defining clear annotation guidelines but also selecting the best technologies to solve complex NLP problems and integrating them seamlessly 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 take theoretical ideas from linguistics and implement them as 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 professional experience in NLP, software development, or a related role.
- Advanced proficiency in Python and relevant NLP or AI libraries/frameworks for working with language (e.g. Langchain, Pydantic AI, Hugging Face Transformers, PyTorch/TensorFlow).
- Strong understanding of software architecture, data structures, and design patterns.
- Data sciences experiences, preferably for linguistics: data annotation, guideline design, and data quality evaluation.
- Proven ability to integrate NLP models into production environments and experience with cloud services (AWS, Azure, or Google Cloud).
- Excellent communication skills, with the ability to explain complex linguistic and technical concepts to diverse audiences.
- Ability to independently address diverse problems by evaluating identifiable factors, devising solutions with limited information, and adapting existing approaches, with work reviewed at critical points.
Benefits at Babel Street (just to name a few...)
- Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
- Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
- Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
- Holidays: Babel Street provides employees with 12 paid Federal Holidays
- Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.
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. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination.In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
Upon request, we will provide you with more information about such accommodations.Range for this position based on qualifications and experience$115,000 - $135,000USD
