Build scalable end-to-end machine learning solutions for challenging customer problems.
Explore novel techniques to tackle previously unsolved problems.
Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design. Mentor other team members in these areas.
Work cross-functionally with various teams to integrate risk mitigation technology into different Grammarly products.
Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
Requirements & Skills:
Understands traditional machine learning algorithms, state-of-the-art techniques—including deep learning—and how to use them effectively.
Has expertise in NLP, safety, fairness, and Responsible AI.
Is comfortable reading academic papers and can take exciting ideas and apply them.
Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.
