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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
The Machine Learning Engineer will develop new ML solutions to enhance the safety and fairness of Grammarly products, working in cross-functional teams and using state-of-the-art ML techniques. Responsibilities include building scalable ML solutions, mentoring team members, and integrating risk mitigation technology while communicating technical results effectively.
The Analytics Engineer at Grammarly will enhance data-driven decision-making by developing data pipelines, collaborating with data scientists, designing databases, and creating analytical solutions like dashboards and tools. They will focus on delivering reliable data to stakeholders and continuously improving the Analytics stack.
The Applied Research Scientist will work with a team to develop state-of-the-art deep learning and natural language processing algorithms, build prototypes, and collaborate with product and engineering teams to transition research into products. They will also publish research findings and participate in conferences.
As an Analyst in Customer Success Analytics at Grammarly, you will define and monitor key metrics, conduct root cause analysis, leverage data to improve customer success, and collaborate with cross-functional teams to enhance data infrastructure. Your role focuses on maximizing customer value, driving product adoption, and supporting revenue growth initiatives.
The Privacy Analyst role at Grammarly involves managing vendor privacy reviews, conducting data protection impact assessments, drafting educational resources, and training teams on privacy practices. The analyst collaborates with cross-functional teams to ensure compliance with privacy regulations and contributes to privacy audits and controls management.
As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.
As a FinOps Analyst at Grammarly, you will work with cloud vendors to optimize and analyze spending. You will help create a framework that enables efficient cost management and deliver insights to drive financial accountability across various teams.
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