Machine Learning Engineer, Agents

Who you are

You have a strong background in machine learning and experience in developing models that can analyze complex data sets — your expertise allows you to build systems that effectively detect spam and fraudulent content. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and Keras, enabling you to implement and optimize algorithms for real-world applications. You understand the importance of data quality and are skilled in preprocessing and analyzing data to ensure the effectiveness of your models. You are a collaborative team player who enjoys working in a hybrid environment, balancing focus time with in-person collaboration to foster innovation and trust within your team. You are passionate about leveraging AI to enhance user experiences and are excited about the opportunity to contribute to a product that empowers millions of users worldwide.

Desirable

Experience with natural language processing (NLP) techniques would be a plus, as it aligns with the goals of developing AI agents that understand context and deliver assistance effectively. Familiarity with cloud platforms and deployment strategies for machine learning models can also enhance your contributions to the team.

What you'll do

As a Machine Learning Engineer at Grammarly, you will lead the development of advanced machine learning systems aimed at identifying abusive users and fraudulent content — your work will directly impact the safety and integrity of shared documents within the Superhuman platform. You will analyze user behavior and document content to build models that evaluate and detect potential threats, ensuring a secure environment for users. Collaborating closely with cross-functional teams, you will contribute to the design and implementation of AI agents that can perform complex tasks, enhancing the overall functionality of the Superhuman suite of applications. You will also engage in continuous learning and experimentation, iterating on your models based on user feedback and performance metrics to improve their accuracy and effectiveness. Your role will involve staying updated with the latest advancements in machine learning and AI, applying new techniques and methodologies to enhance the capabilities of the systems you develop.

What we offer

Grammarly, as part of Superhuman, offers a dynamic hybrid working model that allows you to enjoy the flexibility of remote work while also benefiting from in-person collaboration. You will be part of a mission-driven company that empowers over 40 million users globally, providing you with the opportunity to make a significant impact through your work. The culture at Superhuman emphasizes trust, innovation, and a strong team dynamic, ensuring that you have the support and resources needed to thrive in your role. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.