🕒 5 days ago
Build and scale Python-based applications and data workflows, analyzing information from diverse systems to support research, threat intelligence, and business-risk assessments.
NLP/Linguistics Software Engineer
📅 Jun 23
JavaPythonNatural Language ProcessingComputational Linguistics
📜 Description
- Write and maintain code for the analytics platform and record-matching components.
- Turn linguistics and data science concepts into practical software features.
- Help maintain and optimize search components, including Elasticsearch data models and performance.
- Collaborate with senior engineers and participate in agile sprint planning to translate requirements into technical solutions.
- Help design and ship robust APIs and scalable architectures for the AI-native platform.
🛠️ Requirements
- 2–4 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: Bachelor's degree in Computer Science, Linguistics, or a related technical field.
- 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.
Full job description
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 techniques. In 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 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.
What you will do:
What you will bring:
Required:
Preferred (Nice to Have):
What success looks like:
Why this role matters:
The record matching functionality is where Babel Street’s signals become usable intelligence. Do you care about provenance, explainability, and trust? When 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 stacks. Do you speak multiple languages? Since 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.
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