NLP Engineer
Trunk ToolsFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Grammarly offers a dynamic hybrid working model that combines focus time with in-person collaboration to foster trust, innovation, and team culture.
Candidates need a strong theoretical foundation in ML/DL algorithms and methodologies, along with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL). Minimum 6–7 years of industry experience in researching and developing ML/DL is required.
This information is not specified in the job description.
The hybrid model fosters trust, innovation, and a strong team culture through in-person collaboration. Engineers and researchers have freedom to innovate, influence the product roadmap, and contribute to research strategy and technical culture.
A strong candidate will have 6–7 years of industry experience in ML/DL research and development, a deep grasp of ML/DL/NLP concepts, and the ability to contribute to ideation, define solutions for complex problems, and build production systems while staying current with NLP trends.
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