NLP R&D Scientist

New York, NY, us on site Until 8/22/2026 First posted March 23, 2025 Last posted March 23, 2025
Job description

As we continue to expand our artificial intelligence platform, Amelia, we are looking for NLP experts to join our development team. We need great scientists who also are great coders. Our scientists tackle the big challenges in deep language understanding and are passionate about writing sustainable code to implement advanced ideas. Whether from published research or their own approaches, our scientists identify and integrate the best science available – all to create the best new NLP capability possible.

 

We are looking for a hands-on scientist and developer ready to tackle the big challenges in deep language understanding. With an extensive existing customer base and a market-leading position in help desk automation, your work will go into production as soon as it shows measurable improvement over current methods. We think long term, while putting our research into practice on a rational schedule.

The ideal candidate will have both a research and development background. Having a history of peer-reviewed scientific publications in NLP is a plus. Multiple positions are open in this area. We have interest in candidates with a machine learning background and approach to NLP. We are also interested in candidates with a rule-based NLP background and knowledge of linguistic semantics. We have interest in candidates with experience in many portions of the NLP pipeline, including parsing, word sense disambiguation, knowledge extraction, question answering and language generation.

The candidate should have a master's degree, PhD would be preferred. Open source development experience is a plus. Ability to code in Java is required.

You will lead an area of development of the pipeline, guiding and mentoring junior developers, working with the leads of the other areas of the pipeline and the lead scientist to create and deploy new capabilities in language understanding. You should be passionate about writing good and sustainable code to implement your advanced ideas. You will be expected to identify and integrate the best science available, whether from published research or your own approach. You will work with test and analysis engineers to prove your ideas against objective and measurable tests of capability. Each day you will be expected to move as needed between designing scientific approaches and architecture, writing or contributing to scientific publications, mentoring, and development in Java, all in the service of creating the best new NLP capability possible.

Good scientists must also be good communicators, able to explain and justify complex ideas to junior developers and senior management, both verbally and in writing. You should be comfortable defining delivery schedules and metrics for performance assessment and meeting your targets.

First and foremost we need great scientists who also are great coders. A mature coder should be able to learn a new framework quickly, so experience with each of the items below just helps us understand your implementation experience, but each is desirable

Java Spring, Guava, JDBC, Tomcat, JUnit

Development tools such as Maven, Jenkins, Ant, Eclipse

Comfortable on Apple or Linux OSes

Benefits

  • Competitive Base Salary
  • Medical Insurance, Dental Insurance and Vision Care
  • Life Insurance
  • Short Term and Long Term Disability Insurance
  • 401(K) Plan
  • Flexible Spending Accounts: Health Care, Dependent Care, Transportation
  • Paid Time Off Bank
About this role

Summary

Develop and implement NLP algorithms, lead pipeline development, mentor junior developers, and publish research.

Job title

NLP R&D Scientist

Experience level

master's degree or PhD

Industry

software

Location requirements

New York, NY, us, on-site, no remote work

Salary

Not specified

Management role

No

Skills & keywords

Required skills

Java

Preferred skills

open source developmentJava

Specializations

NLPmachine learninglinguistic semanticsparsingquestion answering
Locations

Structured locations inferred from the posting.

New York, NY, USA

On-site City