Glean Technologies, Inc.
Software Engineer, Machine Learning (Infrastructure)
Glean Technologies, Inc., Palo Alto, California, United States, 94306
Software Engineer, Machine Learning (Infrastructure)
About Glean:
Founded in 2019, Glean is an AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean helps employees access the right information at the right time, boosting productivity and collaboration. Glean combines enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to redefine how employees work. About the Role:
Glean is looking for engineers to help build the worlds best search and assistant product for work. Engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, understand their pain points, and use whatever tool is necessary to solve their problems. You will:
Design, build, and improve ML systems and data pipelines infrastructure Work with and enable other ML engineers focused on modeling Write robust code thats easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you:
5+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience with ML infrastructure and engineering for search, recommendation, NLP, or related areas Proven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI) Strong experience with Apache Spark and hands-on experience building, scaling, and operating large batch data pipelines Thrives in a customer-focused, cross-functional environmentteam player and willing to take on impactful work Proactive and positive attitude to lead, learn, troubleshoot, and own both small tasks and large features Location:
Hybrid (3 days a week in the SF Bay Area offices) The standard base salary range for this position is $200,000 - $280,000 annually. Compensation is determined by location, level, knowledge, skills, and experience. Some roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including medical, vision, and dental coverage, generous time-off, a 401k plan participation, home office stipend, annual education and wellness stipends, and regular company events with healthy lunches. We are a diverse team and remain committed to an inclusive and equitable workplace. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #J-18808-Ljbffr
About Glean:
Founded in 2019, Glean is an AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean helps employees access the right information at the right time, boosting productivity and collaboration. Glean combines enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to redefine how employees work. About the Role:
Glean is looking for engineers to help build the worlds best search and assistant product for work. Engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, understand their pain points, and use whatever tool is necessary to solve their problems. You will:
Design, build, and improve ML systems and data pipelines infrastructure Work with and enable other ML engineers focused on modeling Write robust code thats easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you:
5+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience with ML infrastructure and engineering for search, recommendation, NLP, or related areas Proven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI) Strong experience with Apache Spark and hands-on experience building, scaling, and operating large batch data pipelines Thrives in a customer-focused, cross-functional environmentteam player and willing to take on impactful work Proactive and positive attitude to lead, learn, troubleshoot, and own both small tasks and large features Location:
Hybrid (3 days a week in the SF Bay Area offices) The standard base salary range for this position is $200,000 - $280,000 annually. Compensation is determined by location, level, knowledge, skills, and experience. Some roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including medical, vision, and dental coverage, generous time-off, a 401k plan participation, home office stipend, annual education and wellness stipends, and regular company events with healthy lunches. We are a diverse team and remain committed to an inclusive and equitable workplace. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #J-18808-Ljbffr