ML Engineer, AI Assistant Quality & Personalization

FDE Times; San Francisco (CA); Hybrid; USD 180,000 - 205,000; Full time

Benefits offered by this job

Medical, Vision, and Dental coverage

Home office stipend

Annual education stipend

Wellness stipend

Healthy lunches daily

Job summary

Glean in San Francisco is hiring a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents. This role sits at the intersection of production ML, LLM-powered systems, and product engineering, focusing on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows.

You will collaborate with product, design, and engineering to ship high-quality systems, develop evaluation loops, and advance

Qualifications

• 2+ years of industry experience in ML, applied AI, or software engineering with ML ownership.
• Hands-on coding and shipping production systems.
• Experience in LLM applications, NLP, search, retrieval, or personalization.
• Comfort bridging modeling and product engineering, with experimentation and measurement.

Responsibilities

• Build ML and LLM-powered systems that raise the quality of Glean’s AI Assistant and autonomous agents across real user workflows.
• Design evaluation, benchmarking, and monitoring loops to measure assistant quality, model quality, and end-to-end system performance.
• Develop signals, prompts, workflows, and model-driven logic that improve reasoning, planning, personalization, and task completion quality.
• Work across areas such as RAG, semantic search, recommendation-style systems, post-training or reinforcement learning, and agent orchestration where they materially improve product outcomes.
• Partner closely with product, design, and engineering teammates to understand customer pain points and ship high-quality production systems quickly.
• Contribute to the data and ML infrastructure needed to support robust experimentation, offline and online evaluation, and continuous model improvement.

Skills

ML engineering

Production systems

NLP & search

Evaluation frameworks

Agent systems

Python

Go

Java

C++

Tools

Python

Go

Java

C++

Job description

Glean in San Francisco is hiring a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents. This role sits at the intersection of production ML, LLM-powered systems, and product engineering, focusing on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows.

You will collaborate with product, design, and engineering to ship high-quality systems, develop evaluation loops, and advance