# Machine Learning Engineer, Enterprise Brain

**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** Mountain View, CA
**Role:** ML Engineering
**Salary:** $200k – $300k/yr
**Experience:** 3+ years
**Skills:** Machine Learning, LLMs, Reinforcement Learning, Fine-Tuning, PyTorch, TensorFlow, Python, Natural Language Processing, Search Systems, Recommendation Systems, Evaluation Frameworks, Benchmarking, Knowledge Graph
**Posted:** 2026-07-06

> Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.

## Job Description

## Responsibilities
- 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.

## Requirements
- 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.

## Nice-to-Haves
- Experience building or maintaining evaluation frameworks for complex enterprise tasks.

## Compensation & Benefits
- Base salary range: $200,000 - $300,000 annually.
- Eligible for variable compensation, equity, and benefits.
- Comprehensive benefits: Medical, Vision, Dental coverage; generous time-off; 401k plan.
- Home office improvement stipend; annual education and wellness stipends.
- Healthy lunches daily; regular company events.

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