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Machine Learning Engineer, Infrastructure at Gleanwork | San Francisco Bay Area

GleanSan Francisco Bay Area
On-site Full-time $175K/yr - $270K/yr

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Experience Level

Mid to Senior

Qualifications

To be successful in this role, candidates should possess:A solid foundation in machine learning algorithms and frameworks. Experience with data engineering and building scalable infrastructure. Strong programming skills in languages such as Python or Java. A passion for solving complex problems and continuous learning.

About the job

About Glean:

Founded in 2019, Glean is a forward-thinking AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and share vital information across their teams. By seamlessly integrating with popular tools like Google Drive, Slack, and Microsoft Teams, Glean ensures that employees can access the right knowledge at the right moment, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, enabling teams to leverage their collective intelligence more effectively.

Inspired by Founder & CEO Arvind Jain's profound understanding of the challenges faced by employees in accessing and comprehending information at work, Glean was established to tackle the issues posed by fragmented knowledge and sprawling SaaS tools. Our mission is to create a better solution - an AI-powered enterprise search platform that allows individuals to intuitively access the information they require. Since our inception, Glean has emerged as the premier Work AI platform, merging enterprise-grade search capabilities, an AI assistant, and robust application and agent-building functionalities to fundamentally transform how employees work.

About the Role:

We are seeking talented engineers to contribute to the development of the world's most advanced search and assistant product tailored for the workplace. Our engineers engage with various systems across the stack, including generative AI, RAG, query understanding, document comprehension, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We maintain regular interactions with our customers, gaining a deep understanding of their challenges, and utilize any necessary tools—simple or complex—to address their needs.

Key Responsibilities:

  • Design, develop, and enhance machine learning systems and data pipeline infrastructure.
  • Collaborate with cross-functional teams to optimize performance and scalability of machine learning solutions.

About Glean

Glean is redefining how teams access and share knowledge through its innovative AI-powered platform. With a focus on enhancing productivity and collaboration, Glean stands at the forefront of the knowledge management landscape, making it easier for organizations to tap into their collective intelligence.

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