Machine Learning Engineer, Enterprise Brain

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 detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.

You will: 

• 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.
• Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
• Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

About you: 

• 3+ years of industry experience in AI or Machine Learning Engineering.
• BA/BS in computer science, math, sciences, or a related field.
• Experience with search, recommendation, natural language processing, or other large-scale ML systems.
• Proven ability to design, build, and ship production-ready models and systems.
• Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
• Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch).
• Strong coding skills (Python, Go, Java, C++, etc.).
• Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must.

Location:

• This role is hybrid (4 days a week in our Mountain View, CA office)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain role