NLPLinguistics Software Engineer

Babel Street is the trusted technology partner for the worlds 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 .

ROLE SUMMARY

Babel Street is looking for a Software Engineer to join our Analytics Group. This is an execution-focused builder role for an engineer early in their career who wants to work at the intersection of NLP algorithms search engines and data science this role you will help create the next generation of architecture and components for our analytics platform focusing specifically on our record matching will bridge the gap between linguistic theory and practical AI applications helping us implement practical innovative text analytics and AI-driven will work closely with senior engineers to learn how to deliver software that is safe reliable and production-ready.

WHY THIS ROLE MATTERS

The record matching functionality is where Babel Streets signals become usable you care about provenance explainability and trustWhen a match decision affects whether someone is onboarded or investigated the model said so is not good enough. You will help build systems where every match is defensible auditable and tunable a rare luxury in modern ML-heavy you speak multiple languagesSince our platform processes data from around the globe your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.

WHAT YOULL DO (KEY RESPONSIBILITIES)

• Implement and Maintain: Write high-quality maintainable code to support the analytics platform and its record matching components.
• Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
• Support Search Internals: Help optimize and maintain search engine components including Elasticsearch data modeling and performance tuning.
• Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
• Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.

WHAT YOU BRING (QUALIFICATIONS)

Required:

• 24 years of professional software engineering experience (including high-impact internships or projects).
• Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
• Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
• Educational Foundation: Bachelors degree in Computer Science Linguistics or a related technical field.

Preferred (Nice to Have)

• Foundation in Data Science: Experience with data quality evaluation data annotation or guideline design preferably for linguistics.
• Familiarity with Elasticsearch internals or other search/retrieval-based systems.
• Exposure to computational linguistics or natural language processing (NLP).
• Interest in Kubernetes and cloud-native architectures.

WHAT SUCCESS LOOKS LIKE (FIRST SIX MONTHS)

• Month 12: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
• Month 34: Take ownership of a specific component or pipeline improvement with guidance including full testing and documentation.
• Month 56: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.

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 anequalopportunity/affirmative actionemployer. All qualified applicants will receive consideration foremploymentwithout regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. FurtherBabel Street will not discriminate against applicants for inquiring about discussing or disclosing their pay or in certain circumstances the pay of their coworkerPay Transparency Nondiscrimination.In addition Babel Streets 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.