Machine Learning Engineer, Enterprise Brain

Details

Glean is seeking Machine Learning Engineers to work on a combination of quality and traditional machine learning initiatives for the Enterprise Brain. The team is developing proactive AI products that detect and automate enterprise tasks by combining deep user understanding, enterprise graphs, large language models, advanced machine learning, agent orchestration, and ranking techniques.

Responsibilities

• Work on challenging machine learning problems involving user understanding and task prediction.
• Invent LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve understanding, prediction, and agentic systems.
• Lead the development of scalable evaluation, benchmarking, and optimization loops.
• Build and maintain robust machine learning pipelines for enterprise and knowledge graph construction.
• Measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to understand customer pain points and deliver high-quality, production-ready machine learning solutions.
• Mentor junior engineers and learn from experienced engineers in a tight-knit, high-velocity environment.

Requirements

• 6+ years of industry experience in machine learning engineering.
• A BA or BS in computer science, mathematics, sciences, or a related field.
• Proven ability to design, build, and ship production-ready models and systems.
• Demonstrated expertise in machine learning evaluation, benchmarking, and data quality.
• Proficiency in an ML framework such as TensorFlow or PyTorch.
• Ability to work in a fast-moving, ambiguous environment and turn open-ended customer and ML problems into clear priorities and production-ready solutions.
• Ability to balance speed with quality and make pragmatic tradeoffs while maintaining production readiness.

Work Arrangement

• Hybrid role requiring four days per week in the Mountain View office.

Compensation And Benefits

• Standard base salary range of $200,000–$280,000 annually.
• Certain roles may be eligible for variable compensation, equity, and benefits.
• Medical, vision, and dental coverage.
• Generous time-off policy and 401(k) plan contributions.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and healthy daily lunches.
• Diverse and inclusive workplace.

The interview process includes a brief AI-focused exercise or discussion covering how candidates think about, design, and use AI to drive impact. Prior Glean experience is not required.