Machine Learning Engineer, AI Assistant Autonomous AI Agents
Company: Glean
Location: San Francisco
Posted on: April 1, 2026
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Job Description:
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. The result: measurable business impact through faster
onboarding, hours of productivity gained each week, and smarter,
safer decisions at every level. Recognized by Fast Company as one
of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s
Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI
50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to
accelerate its global impact. With customers across 50 industries
and 1,000 employees in more than 25 countries, we’re helping the
world’s largest organizations make every employee AI-fluent, and
turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build
systems used daily across Microsoft Teams, Zoom, ServiceNow,
Zendesk, GitHub, and many more - deeply embedded where people get
things done. You’ll ship agentic capabilities on an open,
extensible stack, with the craft and care required for enterprise
trust, as we bring Work AI to every employee, in every company.
About the Role: Glean is looking for senior engineers who will
provide expert-level individual contributions and thought
leadership to help us 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, 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 effectively Invent new agentic architectures and
signals to improve reasoning, planning, and personalization in
workplace AI assistants Design and optimize reinforcement learning
and fine-tuning approaches to improve the quality of agentic
systems Lead development of scalable evaluation, benchmarking, and
optimization loops for agents in production Drive technical
strategy and mentor other engineers, raising the technical bar
across the team Write robust, maintainable, and well-tested code
that powers enterprise-grade assistants and agents About you: 2
years as a Staff Engineer, Principal Engineer, or equivalent 5
years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning,
natural language processing, or other large systems involving
machine learning Proven ability to design, build, and ship
production-ready systems Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ) Thrive in a
customer-focused, tight-knit and cross-functional environment -
being 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 $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
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 to keep you fueled and
focused. We are a diverse bunch of people and we want to continue
to attract and retain a diverse range of people into our
organization. We're 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-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is
core to how we work and we're committed to ensuring every new hire
feels confident integrating AI into their everyday work. As part of
the interview process, you'll complete a brief AI-focused exercise
or discussion so we can understand how you think about, design, and
use AI to drive impact in your role. Feel free to reference any
tools, platforms, or workflows you use today — prior Glean
experience isn't required.
Keywords: Glean, Berkeley , Machine Learning Engineer, AI Assistant Autonomous AI Agents, IT / Software / Systems , San Francisco, California