Software Engineer, Machine Learning Offline

We’re looking for a Machine Learning Engineer who is able to effectively apply ML/DL techniques in the NLP field and has a keen interest in the field’s recent advances. In this role, you will work with researchers, engineers, and linguists to create the next generation of writing and communication assistance tools. You will build models and pipelines, and you will maintain services that deliver models’ output to users. If you revel in the challenge of building exciting new products that will impact millions of lives, we’d love to meet you!

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.

Your impact

- Develop effective tools for correcting, improving, and enhancing written English by using a variety of NLP, machine learning, and deep learning technologies.

- Productionize and ship these features into Grammarly’s product applications, which are used daily by millions of users.

- Implement effective, fault-tolerant, and well-monitored solutions that meet the demand for excellence.

- Stay abreast of the latest technologies.

- Contribute to the R&D strategy and technical culture of the company.

- Be an active member of the AI community by attending and speaking at events in Ukraine and abroad, and by contributing to technical blogs and journals.

We’re looking for someone who

- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.

- Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures.

- Has a solid understanding of the principles and best practices of developing software systems on a large scale.

- Has the ability to apply machine learning algorithms to NLP tasks effectively.

- Has strong knowledge of probability and statistics.

- Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks.

- Has the ability to single out promising new technologies and apply them to ongoing tasks.