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Full-time

Machine Learning Engineer, Search Quality

$140K/yr – $265K/yr

San Francisco, CAIT & TechnologyPosted 17d ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$140K/yr – $265K/yr

Posted

17 days ago

Job description

Glean is the Work AI platform that helps organizations find, use, and act on knowledge through intelligent search, AI assistants, and scalable AI agents. The Machine Learning Engineer will build search and assistant systems involving query understanding, document understanding, language models, natural language question-answering, evaluation, and experimentation. The role focuses on improving search personalization and ranking, adapting models to customer data, integrating LLMs with search, and shipping production-ready code and models.

Responsibilities

Invent new signals to improve the personalization of our search engine

Train a model to capture interactions between signals in our ranking system

Design smarter ways to domain-adapt language models to each customer’s corpus

Discover new ways of combining LLMs with search engines to answer complex questions

Write robust code that’s easy to read, maintain, and test

Mentor more junior engineers, or learn from battle-tested ones

Benefits

This role is hybrid (4 days a week in our San Francisco office)

Certain roles may be eligible for variable compensation, equity, and benefits.

Medical, Vision, and Dental coverage

Generous time-off policy

The opportunity to contribute to your 401k plan to support your long-term goals

A home office improvement stipend

An annual education and wellness stipends to support your growth and wellbeing

Regular events

Healthy lunches daily

Company

Work AI platform connecting enterprise data for search and automation

San Francisco, California, USA

https://www.glean.com/

Founded in 2019

501-1000 employees

Qualifications

* 2+ years of experience

* BA/BS in computer science, math, sciences, or a related degree

* Experience working with search, recommendation, natural language processing, or other large systems involving machine learning

* Strong analytical skills and ability to work with data

* Proven ability to design, build, and ship production-ready models

* Proficiency in your ML framework of choice

* Strong coding skills (Python, Go, Java, C++, ...)

* Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must

* A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features

* This role is hybrid (4 days a week in our San Francisco office)

Required skills

Machine Learning, Search and Recommendation Systems, Natural Language Processing, Production Model Development, Machine Learning Frameworks, Python, Go, Java, C++

Experience

2+ years

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Apply directly on the employer's website — it only takes a few minutes.

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