Software Engineer, University Grad

Digitailor; Mountain View (CA); Hybrid; USD 115,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

401k plan

Home office stipend

Education stipend

Wellness stipend

Free lunches

Job summary

Glean is seeking an experienced AI/ML engineer to build and deploy production-ready ML models and NLP solutions on a cloud-native, distributed infrastructure. The role emphasizes strong data-driven decision making and cross-functional collaboration in a fast-paced environment.

Applicants should have a strong background in Go, Python, Java, JavaScript, and C++, with experience across GCP/AWS/Azure and NLP frameworks.

Qualifications

• BA/BS in Computer Science or a related degree, completed before joining.
• Experience with 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.

Responsibilities

• Design, build, and ship production-ready ML models and NLP solutions.
• Contribute to scalable, distributed systems and cloud-native infrastructure.
• Collaborate with cross-functional teams to deliver high-impact AI features.

Skills

Go

Python

Java

JavaScript

C++

Education

BA/BS in Computer Science or related degree

Tools

GCP/AWS/Azure

Distributed systems

NLP frameworks

ML model deployment

Job description

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

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.