Sr. Software Engineer - Analytics
Quick Summary
hatch I.T. is partnering with Babel Street to find a Sr. Software Engineer - Analytics.
hatch I.T. is partnering with Babel Street to find a Sr. Software Engineer - Analytics. Please see details below:
About the Role
~1 min readBabel Street is looking for a Senior Software Engineer to join their 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 their analytics platform. You will work at the intersection of NLP algorithms, high-scale search engines, and data science techniques, focusing specifically on evolving their 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 their platform expands. You will help identify future technology directions and help us create the "next wave" of software for record matching.
Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They 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.
Nice to Have
~1 min readThe record matching functionality is where Babel Street’s signals become usable intelligence. By reconciling complex data points across disparate sources, your work ensures their customers can move from signal to insight with the highest level of 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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 22, 2026
- First seen
- June 22, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- June 22, 2026
Signal breakdown
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