Internship

Linguistics – Intern

Confirmed live in the last 24 hours

Kognitos

Kognitos

51-200 employees

Automation platform for structured and unstructured data

Enterprise Software
AI & Machine Learning

San Jose, CA, USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Natural Language Processing (NLP)
Requirements
  • Pursuing or holding a PhD in Linguistics, Computational Linguistics, Cognitive Science, or a related field.
  • Deep knowledge of syntax, semantics, and discourse analysis.
  • Familiarity with NLP models and technologies (e.g., NER, dependency parsing, tokenization).
  • Analytical thinker with attention to linguistic nuances.
  • Experience with corpus analysis, annotation, or data-driven research.
  • Basic programming skills (Python preferred, but not required).
  • Excellent communication skills for interdisciplinary collaboration.
Responsibilities
  • Conduct research to enhance our language models, focusing on syntax, semantics, pragmatics, and discourse analysis.
  • Collaborate with engineers to design and build high-quality datasets for NLP training.
  • Identify ambiguities or edge cases in user input and propose solutions for improved language interpretation.
  • Test and fine-tune automated workflows to improve precision.
  • Stay current with research trends in computational linguistics to integrate cutting-edge techniques.

Kognitos provides an automation platform designed for businesses to manage both structured and unstructured data, as well as complex workflows. This platform is particularly beneficial for companies that deal with heavy document processes and frequent exceptions in their operations. Users can streamline repetitive tasks, save time, and reduce manual effort without needing extensive technical skills, thanks to its user-friendly interface and no-coding requirement. Kognitos stands out from competitors by incorporating Generative AI and a Human Language Interpreter, enabling users to teach the platform how to handle exceptions using natural language. This makes the automation development process simpler and more intuitive. The company's goal is to help businesses automate their processes, reduce costs, and improve efficiency, operating on a subscription-based software-as-a-service (SaaS) model.

Company Stage

Series A

Total Funding

$27.6M

Headquarters

San Jose, California

Founded

2021

Growth & Insights
Headcount

6 month growth

20%

1 year growth

78%

2 year growth

368%
Simplify Jobs

Simplify's Take

What believers are saying

  • Kognitos raised $20M in Series A funding, boosting its development capabilities.
  • Partnership with Wipro enhances Kognitos' reach in large-scale transformation projects.
  • Growing demand for no-code platforms aligns with Kognitos' user-friendly offerings.

What critics are saying

  • Increased competition from companies like SilkFlo may impact Kognitos' market share.
  • Dependency on Wipro partnership could pose risks if expectations aren't met.
  • Rapid AI evolution requires Kognitos to continuously innovate to stay competitive.

What makes Kognitos unique

  • Kognitos uses Generative AI and a Human Language Interpreter for intuitive automation.
  • The platform handles both structured and unstructured data, unlike traditional tools.
  • Kognitos offers a no-coding interface, accessible to users with mid-level technical skills.

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