Top Data & Analytics Jobs in San Francisco Bay Area, CA
As a Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and implement ML models for on-device features, evaluate their performance, and collaborate with product teams to integrate these capabilities into user interfaces. You will leverage academic research to enhance the technology and launch models while responding to user feedback.
The FinOps Analyst at Grammarly will work with cloud vendors to analyze, visualize, and optimize cloud spending, driving a culture of financial accountability within engineering, IT, and finance teams. Responsibilities include creating reports and dashboards, partnering with teams to understand cost drivers, and improving cloud cost management strategies.
As a Machine Learning Engineer on the Responsible AI team, you will build scalable end-to-end ML solutions, explore novel techniques for unsolved problems, and promote best practices within the team while collaborating with various departments to enhance the safety and fairness of Grammarly's products.
The Machine Learning Engineer will join Grammarly's Enterprise team to develop new products and capabilities focused on NLP. Responsibilities include applying ML techniques to build and evaluate LLM-based products, collaborating with cross-functional teams, and addressing technical challenges in scalable AI solutions.
The Privacy Analyst will work within Grammarly's Legal team to manage vendor privacy reviews, perform data protection assessments, and collaborate across various teams on privacy compliance projects. The role includes drafting resources for teams, participating in audits, maintaining privacy records, leading training, and developing privacy programs.
The Researcher will join Grammarly's Strategic Research team to design and implement state-of-the-art Deep Learning and NLP algorithms. Responsibilities include building prototypes, collaborating with engineering teams to integrate research into products, and publishing findings at conferences. Ideal candidates have a strong ML background, especially in NLP, and a track record in AI research.
The Analyst in Customer Success Analytics at Grammarly will support the Customer Success business by defining and tracking key performance indicators, conducting root cause analysis, leveraging product adoption data, building predictive models for customer behavior, and collaborating with cross-functional teams to enhance data infrastructure for effective decision-making.
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