Senior NLP Engineer (USA Remote - Eastern Time)

Are you a Senior NLP Engineer with in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts?

RYTE, a breakthrough Artificial Intelligence health tech company is looking for Senior NLP Engineers who will contribute to pushing the boundaries of RYTE’s natural language processing capabilities and driving innovation within the company’s linguistic technology initiatives.

About RYTE

Finding the right physician, selecting the organization providing the most suitable service, and obtaining the most relevant health information, whether in the US or globally, can be complex and filled with uncertainty. Enter RYTE: an AI-driven platform designed to simplify this process. By analyzing data from millions of healthcare providers, experts, medical procedures, clinical outcomes, and a variety of other data points, RYTE offers users a comprehensive view of their options, uniquely tailored to their needs. It offers:

1. Personalized Recommendations: Based on your specific situation, RYTE's platform presents the best healthcare options for you, no matter where you are in the world.
2. Unprecedented Insights: With billions of data points on countless medical professionals and facilities, its AI-driven software gives rankings and insights with metrics previously unavailable for decision-making.
3. Versatile Applications: Launching for individuals seeking specialized care (B2C), with plans for the Pharmaceutical, Medtech, Health Insurance (B2B) and Doctor (B2D) markets, the RYTE platform caters to diverse needs.

Behind RYTE is a dedicated team of top physicians, healthcare executives, data scientists, and AI specialists who have been hard at work since 2019. Their mission? To empower everyone, everywhere, with the data-driven insights required to make well-informed healthcare decisions.

Senior NLP Engineer (USA Remote - Eastern Time)

Base: Extremely competitive

Bonus: A generous year-end bonus, based on performance

Benefits: Full benefits, including medical, dental, and vision insurance

Location: Remote in the USA

Position: Full-Time, Permanent

Time Zone: Must be in a US city with the Eastern (EST) or Central (CST) Standard Time zone.

About The Role

As part of the AI and data engineering department, you will work side to side with a team of AI engineers, architects and data scientists located in multiple countries (the US, France, and Kazakhstan) to perform research and development on AI-based technologies applied to Healthcare Analytics.

The Senior NLP Engineer plays a crucial role within the research and development team focused on linguistic technologies. The primary responsibility of this role is to design, develop, and enhance advanced NLP solutions to meet the company’s needs across various domains, working with structured, semi-structured, and non-structured data coming from a wide variety of public and private data sources.

The role will be expected to contribute to the design, conception, creation, development, implementation, and testing of different NLP AI algorithms to help measure, map, correlate, disambiguate, and track the quality of RYTE’s rich databases.

The Ideal Candidate

The ideal candidate will be able to take on a role that is “20% Research / 70% Data Science / 10% MLOps”.

The position requires in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts. They are NOT looking for a research scientist, but someone more interested in applying the “state of the art” approach to long-term projects. You will be processing new data to solve a problem, evaluating the results, selecting an approach within 1-2 weeks, and then shipping your project. Your MLOps skills will be useful to understand the MLOps team’s expectations and to help hand things over.

What You’ll Be Doing – Day-to-Day

As part of the AI and data engineering department, you will work side to side with a team of AI engineers, architects, and data scientists located in multiple countries to perform research and development on AI-based technologies applied to Healthcare Analytics.

1. Research and Development:

• Design and develop advanced NLP models, such as entity disambiguation, text generation, machine translation, sentiment analysis that will form the core of our solutions.
• Define appropriate datasets for