Machine Learning Engineer, Search Quality
$140K/yr – $265K/yr
You'll complete your application on the employer's website.
$140K/yr – $265K/yr
You'll complete your application on the employer's website.
Job type
Salary
$140K/yr – $265K/yr
Location
Sector
Posted
17 days ago
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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