hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:
About the Role
Babel Street is looking for a Software Engineer to join their 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 their analytics platform focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications helping us implement practical innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe reliable and production-ready.
About the Company
Babel Street is the trusted technology partner for the worlds 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 inReston Virginia withregionaloffices in BostonMAand Cleveland OH andinternationaloffices inAustralia Canada Israel Japan and the U.K.
What you will do:
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 will bring:
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:
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:About the RoleBabel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused builder role for an engineer early in their career who wants to ...
hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:
About the Role
Babel Street is looking for a Software Engineer to join their 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 their analytics platform focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications helping us implement practical innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe reliable and production-ready.
About the Company
Babel Street is the trusted technology partner for the worlds 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 inReston Virginia withregionaloffices in BostonMAand Cleveland OH andinternationaloffices inAustralia Canada Israel Japan and the U.K.
What you will do:
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 will bring:
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:
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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