Logo
Glean

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean, San Francisco, California, United States, 94199

Save Job

Machine Learning Engineer - AI Assistant + Autonomous AI Agents Join to apply for the

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

role at

Glean

Get AI-powered advice on this job and more exclusive features.

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.

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. 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 to understand pain points and solve them with a mix of research-driven and pragmatic engineering approaches.

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 with agentic frameworks, reinforcement learning, natural language processing, or other large ML systems

Proven ability to design, build, and ship production-ready systems

Proficiency in your ML framework of choice

Strong coding skills (Python, Go, Java, C++, ...)

Thrives in a customer-focused, cross-functional environment and is willing to take on high-impact work

Proactive and positive attitude to lead, learn, troubleshoot, and own 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. 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 policy, and the opportunity to contribute to your 401k plan. Additional stipends include a home office improvement stipend and yearly education and wellness stipends. We foster a vibrant company culture with regular events and healthy meals.

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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

Referrals increase your chances of interviewing at Glean. Get notified about new Machine Learning Engineer jobs in San Francisco Bay Area.

#J-18808-Ljbffr