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Reston, Virginia, United States
Onsite
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.
ROLE SUMMARY
Babel Street is looking for a Senior Software Engineer to join our Analytics Group. This is a high-impact Individual Contributor role for a "builder" who wants to create the next generation of architecture and components for our analytics platform. You will work at the intersection of NLP algorithms, high-scale search engines, and data science techniques, focusing specifically on evolving our record matching functionality.
While this is an execution-focused role today, we are looking for a technical expert who wants to master a critical domain and has the drive to grow into a leadership position as our platform expands. You will help identify future technology directions and help us create the "next wave" of software for record matching.
WHY THIS ROLE MATTERS
The record matching functionality is where Babel Street’s signals become usable intelligence. By reconciling complex data points across disparate sources, your work ensures our customers can move from signal to insight with the highest level of trust.
Do you care about provenance, explainability, and trust?
When a match decision affects whether someone gets onboarded, sanctioned, or investigated, "the model said so" is not good enough. You'll build systems where every match is defensible, auditable, and tunable, a rare luxury in modern ML-heavy stacks.
Do you speak multiple languages and want to have a chance to use that in your day-to-day activities?
Since our platform is multilingual and can match records across languages, 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 YOU’LL DO (KEY RESPONSIBILITIES)
WHAT YOU BRING (QUALIFICATIONS)
Required
Preferred (Nice to Have)
WHAT SUCCESS LOOKS LIKE (FIRST SIX MONTHS)
Benefits at Babel Street (just to name a few...)
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.