Software Engineer, University Grad
We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.
We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.
We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.- Own impactful infrastructure problems from inception and architecture to production launch
- Write well thought out design documents and robust, high-quality and well-tested code
- Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap
- Mentor more junior engineers or learn from battle tested ones
Who you are
- BA/BS in computer science, or related degree - degree must be completed before joining
- Experience working on infrastructure for distributed systems or cloud-native applications
- Experience building and shipping ML models and/or solving NLP problems
- Strong analytical skills and ability to work with data
- Experience working in fields like recommendation systems, natural language processing, applied machine learning, large scale production search/ranking system or other related systems
- Experience building delightful and fast web applications
- Ability to work a hybrid schedule from our Palo Alto office
Key knowledge and skills
- Thrive in a customer-focused, tight-nit 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
- Strong coding skills (for example in Go/Python/Java/Javascript/C++ etc) with an emphasis on designing for reliability and scale, and writing well-tested components
- Solid understanding of data structures, algorithms, and software design principles.
- Strong analytical skills and ability to work with data
- Proven ability to design, build, and ship production-ready models
- Passion for learning and staying current with industry trends and technologies.
- Familiarity with cloud native development practices in GCP/AWS/Azure is a plus
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 $115,000 - $140,000 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.