# Machine Learning Engineer, Enterprise Brain
**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** Palo Alto, CA, San Francisco, CA
**Salary:** $200K-$300K
**Experience:** 3+ years
**Skills:** LLMs, PyTorch, TensorFlow, Python, Reinforcement Learning, Natural Language Processing, Search, Recommendation Systems, Ml Pipelines, Evaluation Frameworks
**Posted:** 2026-03-16
> Develop ML systems for the Enterprise Brain, focusing on proactive AI for task prediction, automation, and agentic workflows using LLMs and advanced techniques. Requires 3+ years ML experience, Python proficiency, and expertise in evaluation and production systems.
## 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.

## Compensation & Benefits
- Base salary range: **$200,000 - $300,000** annually (determined by location, level, knowledge, skills, experience).
- Eligible for variable compensation, equity, and benefits.
- Comprehensive benefits: Medical, Vision, Dental; generous time-off; 401k; home office stipend; education and wellness stipends; company events; daily lunches.
**Apply:** https://hotfix.jobs/jobs/machine-learning-engineer-enterprise-brain-at-glean-b5ce4e0d-3ddb-4ef6-82aa-18b21d4639ff
**Canonical:** https://hotfix.jobs/jobs/machine-learning-engineer-enterprise-brain-at-glean-b5ce4e0d-3ddb-4ef6-82aa-18b21d4639ff