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Ai Ml Engineer

💼 Full-time🗓 2026-07-25

Core

Developing new features and models through applied research to serve customers using NLP and AI.

Role type

Applied research ML engineer (NLP)

Builds

Innovative data and machine learning solutions for core product features

Domain

NLP, deep learning, recommendation systems, information retrieval

Deliverable

production ML models

Required skills

machine learning, deep learning, NLP, recommendation systems, information retrieval, Python, Pytorch/Tensorflow, applied research

Preferred skills

ability to frame business problems scientifically, creative problem solving, publication/patent contribution

Technologies

Python, Pytorch, Tensorflow

Responsibilities

Develop new features and models as part of core product; Understand, apply and extend state-of-the-art NLP research; Work with engineering, product, and customers to frame business problems and design AI models; Design, implement, test, deploy, and maintain innovative data and machine learning solutions; Identify new opportunities and contribute to high-quality publications or patents

Seniority

Junior, hands-on IC

Rewrite
## About the role - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models. - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. ## Desired Qualifications and Experience - At least 1 year of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval. - Experience applying ML to solve complex business problems from scratch. - Experience with Python and a deep learning framework like Pytorch/Tensorflow. - Awareness of the state of the art research in the NLP community. - Excellent verbal and written communication and presentation skills.
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