NLP/Linguistics Software Engineer

Hatch IT • Somerville, MA

3d

About The Position

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.

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.

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.
• Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Nice To Haves

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level