Role

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.

What you will do and achieve:

• 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

Who you are:

• 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

Key knowledge and skills:

• 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

Benefits

• Competitive compensation
• Medical, Vision and Dental coverage
• Flexible work environment and time-off policy
• 401k
• Company events
• A home office improvement stipend when you first join
• Annual education stipend
• Wellness stipend
• Healthy lunches and dinners provided daily

For California based applicants: 

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.