Machine Learning Engineer – AI Assistant + ...

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 knowledge at the right time, boosting productivity and collaboration. The company’s AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.Glean was founded by Arvind Jain, who identified the challenges employees face in finding and understanding information at work. He set out to build a better way—an AI-powered enterprise search platform that helps people quickly and intuitively access information. Since then, Glean has evolved into a leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities.About the Role:Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain-adapted and memory-augmented LLMs, reinforcement learning, and building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them.You will:Build frameworks for LLM-powered agents to use tools and knowledge sources effectivelyInvent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistantsDesign and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systemsLead development of scalable evaluation, benchmarking, and optimization loops for agents in productionDrive technical strategy and mentor other engineers, raising the technical bar across the teamWrite robust, maintainable, and well-tested code that powers enterprise-grade assistants and agentsAbout you:2+ years as a Staff Engineer, Principal Engineer, or equivalent5+ years of industry experience in AI or Machine Learning EngineeringExperience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learningProven ability to design, build, and ship production-ready systemsProficiency in your ML framework of choiceStrong coding skills (Python, Go, Java, C++, …)Thrive in a customer-focused, tight-knit, cross-functional environment – being a team player and willing to take on whatever is most impactful for the companyA proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large featuresLocation:This role is hybrid (3-4 days a week in one of our SF Bay Area offices)Compensation & Benefits:The standard base salary range for this position is $240,000 – $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain 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 policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you’ll receive a home office improvement stipend, as well as an annual education and wellness stipend to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.We are a diverse team and are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.#LI-HYBRIDCompany GleanQualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience)Note: Tagged as: Canada, Industry, Machine Learning, Natural Language Processing, NLP#J-18808-Ljbffr

Created: 2025-09-29