Machine Learning Engineer, Infrastructure

Details

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time.

About the role:

Glean is looking for engineers to help build the world’s 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. The team interacts regularly with customers, deeply understands their pain points, and uses whatever tool is necessary, simple or complex, to solve problems.

Responsibilities

• Design, build, and improve ML systems and data pipelines infrastructure.
• Work with and enable other ML engineers focused on modeling.
• Write robust code that is easy to read, maintain, and test.
• Mentor more junior engineers, or learn from battle-tested ones.

Requirements

• 2+ years of experience.
• BA/BS in computer science, math, sciences, or a related degree.
• Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (pipelines, serving, etc.).
• Strong coding skills (Python, Go, Java, C++, ...).
• Thrive in a customer-focused, tight-knit and cross-functional environment; be a team player and willing to take on whatever is most impactful for the company.
• A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features.

Location

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 $175,000 - $270,000 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 competitive compensation, 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 stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily.

We are committed to an inclusive and diverse company and do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.