Software Engineer, Machine Learning at Grammarly

The position is hybrid, offering a dynamic working model that combines focus time with in-person collaboration to foster a strong team culture.

This information is not specified in the job description.

Key requirements include understanding traditional ML algorithms and state-of-the-art techniques like deep learning, deep knowledge of modern ML and NLP algorithms, experience building and evaluating LLM-based products, comfort reading academic papers, and strong data structures/algorithms skills.

Grammarly fosters a strong team culture through a dynamic hybrid model with in-person collaboration, works on highly cross-functional teams with experts like Analytical Linguists and Data Scientists, and is recognized as one of Inc.’s Best Workplaces.

Strong candidates are highly entrepreneurial, energetic, creative, adaptable to fast-paced ambiguous environments, and have excellent communication skills, along with deep technical expertise in ML, NLP, and LLMs.