Senior Research Engineer (Natural Language Processing)

Senior Research Engineer (Natural Language Processing)

About Crimson AI

We are building a unique research platform and products that partners with researchers at every stage of their research – right from finding what to research to publishing it – and help them focus on the science and leave the rest to our AI powered solutions. Trinka AI, our writing assistant, is already helping over 5,00,000 researchers write better. Our products use cutting-edge AI technologies to deliver the best results and experience to researchers across the world.

About the Team

We are a team of passionate researchers, data scientists, engineers, language lovers, linguists and designers building good automation and AI software for the scholarly publishing industry. Our AI powered products are driven by natural language processing and machine learning to help both authors and publishers in their publication goals. Our products ease the human burden at every stage of the publication cycle, from manuscript writing to knowledge dissemination.

Role Overview

We are looking for Senior Research Engineer (NLP): 2+ years of NLP production-level experience

who will identify and implement best data-driven methodologies considering the product

requirements.

Responsibities

You are expected to show excellent performance in the following tasks:

• Design, develop and implement advanced data-driven approaches including NLP, machine
• learning algorithms, text mining, etc.
• Updating yourself with all relevant recent and past research works.
• Working on NLP-ML model deployment and updates.
• Optimized algorithm and code design & execution.
• High-quality Test-driven-development
• Deadline estimation.
• Benchmarking.

Experience

Demonstrated solid research engineering skills in NLP problems in any one of the following

formats:

• Kaggle.
• Github opensource popular projects.
• Google Summer of Code (GSoC).
• Strong in (and passionate about) mathematics & statistics (specifically, but not limited to,
• linear algebra, probability theory, regression modeling, mathematical logic).
• Love for publication in top venues.
• High-level proficiency in Tensorflow/Keras/Pytorch.
• Very strong skill in Python, Python framework, and ASGI servers
• Strong skill in RDBS and NoSQL databases.
• Very strong in data structures and algorithms.
• Very strong in design patterns and OOP concepts.
• Good understanding of RESTful API and micro-server architecture.
• Strong in foundational NLP, NLP libraries, ML libraries.
• Strong in text manipulations, regex, text cleaning.

Added advantage: Strong in Cython/C/C++; publications at A+/A level venues.

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