Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include strong analytical skills and ability to work with data, proven ability to design, build, and ship production-ready models, proficiency in an ML framework (Python, Go, Java, C++, etc.), and experience with search, recommendation, natural language processing, or other large ML systems.
Glean is on a mission to make knowledge work faster and more humane, believing AI will transform work by creating assistants that free people for creative tasks; the team includes experienced engineers from Google, Facebook, Slack, and others.
Candidates need 6+ years of experience and a BA/BS in computer science, math, sciences, or a related degree.
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.