Glean is looking to solve the problem of fragmented knowledge and sprawling SaaS tools that make it difficult for employees to stay productive, by building the world’s best search and assistant product for work.
Requirements
- Proven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI)
- Strong Experience working with Apache Spark and hands-on experience with building, scaling, and operating large batch data pipelines
- Strong coding skills (Python, Go, Java, C++, ...)
- Experience working with ML infrastructure and engineering for search, recommendation, natural language processing, or something similar
Responsibilities
- Design, build, and improve ML systems and Data pipelines infrastructure
- Work with and enable other ML engineers focused on modeling
- Write robust code that’s easy to read, maintain, and test
- Mentor more junior engineers, or learn from battle-tested ones
Other
- 5+ years of experience
- BA/BS in computer science, math, sciences, or a related degree
- 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
