Software Engineer, Machine Learning
Glean
Bangalore, IndiaPosted 3 months ago
Skill Required
EngineeringMachine Learning EngineerSoftware EngineerSoftware DeveloperMachine LearningNLPServiceNowanalyticalEmbedded CPythondesignGitC++JavaAPIsGenerative AIGoAI
Key highlights
- In-person role in Bangalore, India
- 6+ years of experience required
- Eligible for variable compensation, equity, and benefits
- BA/BS in computer science, math, sciences, or related field required
Role overview
Glean is the Work AI platform that helps enterprises work smarter with AI, offering advanced enterprise search, an AI Assistant, and scalable AI agents on a secure, open platform. The company redefines how organizations find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, delivering personalized, context-aware responses and automating real work across teams. Recognized as one of the world’s most innovative companies, Glean serves customers across 50+ industries with 1,000+ employees globally. The role involves building the world’s best search and assistant product for work, focusing on systems like query understanding, document understanding, domain-adapted language models, and natural language question-answering, while collaborating closely with customers to solve their problems.
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
- 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
- Interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems
Requirements
- 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
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
Additional details
- This role is in person in Bangalore, India
- 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.
- At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.
- Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
- By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.