# Machine Learning Engineer, Assistant Quality

**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $180k – $205k/yr
**Experience:** 2+ years
**Skills:** Python, Go, Java, C++, LLMs, natural language processing, retrieval-augmented generation, semantic search, Recommendation Systems, Reinforcement Learning, agent orchestration, personalization, Evaluation Frameworks, Machine Learning
**Posted:** 2026-08-03

> Build and improve production ML and LLM-powered systems that enhance AI Assistant and autonomous-agent quality through evaluation, retrieval, personalization, and orchestration. Requires 2+ years of industry experience, strong coding ability, and experience shipping applied ML systems.

## Job Description

## Responsibilities

- Build and improve 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 and iterate on signals, prompts, workflows, and model-driven logic that improve reasoning, planning, personalization, and task completion quality.
- Apply techniques such as RAG, semantic search, recommendation systems, post-training or reinforcement learning, and agent orchestration where they improve product outcomes.
- Partner with product, design, and engineering teammates to understand customer pain points and ship high-quality production systems quickly.
- Contribute to data and ML infrastructure supporting experimentation, offline and online evaluation, and continuous model improvement.

## Requirements

- **2+ years** of industry experience in machine learning, applied AI, or software engineering with significant ML ownership.
- Strong hands-on coding ability and a track record of shipping production systems, not just prototypes or research projects.
- Experience with one or more of: LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
- Comfort working across modeling and product engineering, including experimentation, quality measurement, and production iteration.
- Proficiency with common ML tooling and strong software engineering fundamentals in **Python, Go, Java, or C++**.
- A pragmatic, product-minded approach to choosing sophisticated ML techniques versus simple, reliable systems.
- A proactive, low-ego working style and excitement about learning quickly in a high-velocity environment.

## Compensation & Benefits

- Base salary range: **$180,000–$205,000 annually**.
- Compensation may also include variable compensation, equity, and benefits, depending on the role.
- Medical, vision, and dental coverage.
- Generous time-off policy and 401(k) contribution opportunity.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.

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