Machine Learning Engineer Job at Glean (Palo Alto or SF)

Machine Learning Engineer

Glean

Location:
United States , Palo Alto or SF

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

200000.00 - 300000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

What we offer:

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Additional Information:

Job Posted:
January 06, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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