Software Engineer, University Grad
GleanMountain View, CAposted 3h ago
- PayUSD / yr
- $115k – 150k
- Where
- Mountain View, CA
- Posted
- Oct 28
- 3 hours ago
- Type
- Full-time
- Setup
- Hybrid
At a glance
Build and ship reliable software, ML models, and NLP capabilities powering Glean’s enterprise Work AI products. University graduates may join backend, product, or ML engineering teams in a hybrid Mountain View role.
Summarized by AI from the original posting
What you'll do
- Own infrastructure problems from architecture through production launch
- Write design documents and robust, well-tested code
- Collaborate on roadmap prioritization
- Design, develop, and maintain software solutions
- Build and ship ML models and AI-powered systems
Requirements
- 01Degree completed before joining
- 02Strong coding skills
- 03Ability to design, build, and ship production-ready models
- 04Strong analytical skills
- 05Ability to work a hybrid schedule from the Mountain View office
- 06Collaborative and customer-focused mindset
Perks
Skills
Full description
- 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
About you:
- 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 Mountain View 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
Compensation & Benefits:
The standard base salary range for this position is $115,000 - $150,000 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.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean: 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. Global Data Privacy Notice for Job Candidates and Applicants: 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.