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Internship Stack Testing Jobs in Massachusetts (NOW HIRING)

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... What success looks like: * Month 1-2: Ramp up on the analytics stack and record matching ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Month 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... What success looks like: * Month 1-2: Ramp up on the analytics stack and record matching ...

Amazon

Software Development Engineer II

Reading, MA · On-site

... stack-from low-level system interfaces to high-level application logic-then we'd like to talk to ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ ...

Walden Robotics

Electrical Engineer

Cambridge, MA · On-site

$123K - $165K/yr

... the full stack while taking ownership of well-scoped design and validation tasks. You will work ... Execute bench testing and validation, capture and analyze data, and document results to ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Internship Opportunities The AI Technology and Systems Group is seeking motivated applicants that ... science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented ...

Entegris

Specialist, AI Engineer

Bedford, MA · On-site

Quality & operations: testing, logging/metrics, and basic monitoring for services in development ... internships/co-ops/projects welcome). * Foundational knowledge of Python and basic AI/ML concepts.

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Internship Stack Testing information

What is the difference between Internship Stack Testing vs Software Tester?

AspectInternship Stack TestingSoftware Tester
CredentialsTypically pursuing or recent graduate in CS or related fieldOften requires relevant certifications or experience in testing
Work EnvironmentInternship setting, learning-focused, entry-levelProfessional environment, full-time or part-time roles
Industry UsageUsed for training and skill development in tech companiesEstablished role in software development teams

Internship Stack Testing is a training position aimed at gaining practical experience, while a Software Tester is a professional role responsible for quality assurance in software projects. Internships often serve as a stepping stone to full-time testing roles, which require more experience and certifications.

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NLP/Linguistics Software Engineer

Hatch IT

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Re-posted 20 days ago

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:
  • 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:

  • 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.

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 1-2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3-4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5-6: 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 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.
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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