Software Engineer, University Grad
Glean Work is hiring a Software Engineer, University Grad in Mountain View, United States. It pays $115k-$150k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions AI agents and NLP among its tools and skills.
- Glean Work has 132 other open roles on Level.
- Posted in the last few days.
AI in this role
- 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.
How we rate this
Software Engineer, University Grad at Glean Work rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $115k
- Typical software engineer job
- $167k
This posting starts 31% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
Adapt your resume
- List these exact terms on your resume: AI agents and NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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