Machine Learning Engineer, Enterprise Brain

Job summary

Responsibilities

Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively…

• Work on deeply challenging ML problems involving user understanding and task prediction.
• Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve the 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.

What they're looking for

• You bring 6+ years of industry experience in machine learning engineering.
• You hold a BA/BS in computer science, math, sciences, or a related field.
• You have a proven ability to design, build, and ship production-ready models and systems.
• You bring demonstrated expertise in ML evaluation, benchmarking, and data quality.
• You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch.

Tech stack

• TensorFlow
• PyTorch