Machine Learning Engineer, Enterprise Brain

Glean Technologies is hiring Machine Learning engineers to build proactive AI capabilities for the Enterprise Brain team in Mountain View.

Responsibilities

• Take on advanced ML challenges focused on user understanding and task prediction
• Develop new LLM workflows and signals to strengthen reasoning, planning, and personalization
• Design and improve reinforcement learning and fine-tuning methods to raise quality of understanding, prediction, and other agentic systems
• Lead development of scalable evaluation, benchmarking, and optimization loops
• Build and maintain robust ML pipelines for enterprise and knowledge graph construction
• Measure, monitor, and improve data quality, model quality, and end-to-end system performance
• Partner with cross-functional teams to understand customer pain points and deliver production-ready ML solutions
• Mentor junior engineers or collaborate in a tight-knit, high-velocity engineering environment

Requirements

• 6+ years of industry experience in machine learning engineering
• BA/BS in computer science, math, sciences, or a related field
• Proven ability to design, build, and ship production-ready models and systems
• Demonstrated expertise in ML evaluation, benchmarking, and data quality
• Proficiency in an ML framework of your choice, such as TensorFlow or PyTorch
• Ability to thrive in fast-moving, ambiguous environments by turning open-ended problems into clear priorities and production-ready outcomes
• Capacity to balance speed with quality through pragmatic tradeoffs that maintain production readiness

Technologies

• TensorFlow
• PyTorch

Location and Work Style

• Mountain View, CA (hybrid)
• 4 days per week in the Mountain View office

Compensation and Benefits

• Base salary range: $200,000 - $280,000 annually
• Compensation determined by factors including location, level, job-related knowledge, skills, and experience
• Some roles may include eligibility for variable compensation, equity, and benefits
• Comprehensive benefits package including competitive compensation
• Medical coverage
• Vision coverage
• Dental coverage
• Generous time-off policy
• Opportunity to contribute to your 401k plan
• Home office improvement stipend
• Annual education and wellness stipends
• Regular events
• Healthy lunches daily

AI-First Mindset at Glean

• Interview includes a brief AI-focused exercise or discussion to understand how you think about, design, and use AI to drive impact in the role
• You may reference tools, platforms, or workflows you use today; prior Glean experience is not required

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