Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull 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.
Candidates need proven ability to design, build, and ship production-ready software around ML infrastructure, strong coding skills in languages like Python, Go, Java, C++, and experience with ML infrastructure for search, recommendation, or NLP.
Glean fosters a customer-focused, tight-knit, and cross-functional environment where team players thrive, taking on impactful tasks with a proactive and positive attitude.
A strong candidate has 5+ years of experience, a BA/BS in computer science, math, sciences, or related field, and the ability to design, build, and ship production-ready ML infrastructure software.
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.