NLPLinguistics Software Engineer
Somerville, NJ - USA
Job Summary
hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:
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.
- 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.
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.
- 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.
Required Experience:
IC
About Company
hatch I.T. is a specialized technology recruiting firm supporting emerging tech startups that need to grow their engineering, data, and product teams.