Software Engineer - Machine Learning

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.

You will:

• 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

About you:

• 6+ 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

Location: 

• This role is in person in Bangalore, India

Compensation & Benefits:

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.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.