13 days old

NLP/Machine Learning Engineer

New York, New York 10010
  • Job Type
  • Job Status
    Full Time
  • Shift
    1st Shift

Kasisto, a FinTech startup, is on a mission to enable companies to attract, engage, support, and transact with their customers via human-like, intelligent conversations, anytime, anywhere. Kasisto’s conversational AI platform, KAI, powers omnichannel bots and virtual assistants with deep domain expertise across mobile apps, web, messaging platforms, and IoT devices.

Built with the deepest AI portfolio in the industry, KAI is an enterprise-ready platform with self-service tools to customize and continually improve consumer experiences and seamlessly add new features. The agile, modern platform saves companies time and money with easy customization, simple APIs and modern SDKs, deep learning, security and compliance, and fast deployment.

 Some of the world’s most innovative financial institutions license KAI Banking including DBS Bank, Mastercard, Standard Chartered, TD Bank, Wells Fargo, among others. They are creating entirely new experiences to fulfill requests, solve problems, and predict needs for their customers with KAI-powered bots and assistants.


This position

We are looking for an experienced engineer with specialties in natural language processing and machine learning. This position’s primary focus will be our platform’s core natural language understanding (NLU) engine, including accuracy improvements, performance evaluation, and the development of new features. The ideal candidate will have experience with machine learning-based approaches to text classification, named entity recognition, parameter extraction, and/or representation learning, as well as with the creation and evaluation of annotated training corpora. As Kasisto has an international customer-base, we welcome candidates with experience in languages besides English.


What you will be doing

  • Improving the accuracy of our platform’s NLU system by researching, prototyping, and implementing new approaches to our core problems (see above)
  • Developing new systems for evaluating NLU accuracy and performance
  • Building better-annotated training corpora by assessing data collection and annotation processes
  • Assisting in the implementation of new features and tools for both internal and external consumption



What you need in this position

  • 3+ years professional experience with NLP and machine learning
  • Strong proficiency in Java; Python or Scala experience a plus
  • Experience with deploying machine learning-based systems in production environments
  • Experience with multilingual NLP systems a plus
  • Familiarity with a major machine learning/deep learning framework a plus (Keras, Tensorflow, Torch, Spark-ML, h2o.ai, etc.)
  • You should have the ability to work independently within a small, creative, deadline-driven environment. This is an excellent opportunity for someone looking to grow professionally within a fast-moving tech startup with a global reach


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NLP/Machine Learning Engineer

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