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Salary: USD 215,000 - 278,900 / annual
Glean is a Work AI platform that helps enterprises work smarter with AI. The company has evolved from advanced enterprise search into a full-scale AI ecosystem, powering intelligent search, AI assistants, and scalable AI agents on a secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean enables organizations to govern, scale, and customize AI across their business without vendor lock-in.
As a Software Engineer, you will help build a software-based platform that scales indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.
Key responsibilities include:
- Design, develop, and maintain full-stack applications spanning front-end interfaces, REST APIs, and application servers
- Build large-scale, fault-tolerant distributed systems with knowledge of performance benchmarking tools and performance tuning on Linux-based systems
- Perform thorough code reviews for peers, including interface design, code quality, and testing strategies
- Understand customer requirements and implement them in the solution
- Work closely with product teams to ensure features satisfy requirements and are delivered effectively with high quality
- Implement data ingestion pipelines to retrieve data from enterprise data sources and build secure search indexes using C++, Java, Python, or Go
- Design and implement user interfaces for enterprise workers to search enterprise content, and design APIs to build other search-based applications
The role is based in Mountain View, CA with telecommuting as an option.
REQUIREMENTS:
- Master's degree in Computer Science, Computer Engineering, Engineering, or closely related field (or suitable combination of education, training, and experience)
- Experience with Machine Learning/Deep Learning
- Experience with Machine Learning Operations (MLOps)
- Proficiency in Python
- Experience with PyTorch
- Experience with TensorFlow
- Experience with Anomaly Detection
- Experience with Scikit-learn
- Experience with AWS
- Experience with NLP
- Experience with Security and data engineering
