Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The role is onsite and based in Palo Alto, CA.
This information is not specified in the job description.
The role requires skills in conducting rigorous empirical analyses, developing visualizations, collaborating with ML engineering and product data science teams, A/B experimentation, and Generative AI evaluation.
Glean has a diverse team of curious and creative people who collaborate to achieve big goals, founded by experienced engineers from Google and Facebook, with a mission to make knowledge work faster using AI.
Strong candidates will have expertise in ranking & RAG, A/B experimentation platforms, and Generative AI evaluation, with the ability to define KPIs, build visualizations, conduct empirical analyses, and collaborate across teams.
AI-powered search tool for workplace productivity
Glean enhances workplace productivity by providing an AI-powered search tool that works across all applications within a company. This tool utilizes deep learning-based Language Models to understand natural language queries, allowing users to find information more easily. It continuously learns from the specific language and context of a company, improving the relevance of search results without manual adjustments. Additionally, Glean offers a chat assistant that can analyze and summarize information from various company documents and conversations, further increasing efficiency. Unlike many competitors, Glean's focus on natural language processing and its ability to adapt to a company's unique context set it apart. The goal of Glean is to streamline information retrieval in the workplace, making it accessible and efficient for all types of organizations, from startups to large enterprises.