Software Engineering R&D - Internship

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Join Saviynt's Internship Program and gain hands-on experience solving real-world problems at the intersection of AI, security, cloud infrastructure, and data. Our interns work alongside experienced engineers, data scientists, and product teams to drive innovation, learn cutting-edge technologies, and make an impact from day one.

Depending on your skills and interests, you may be placed in one of several focus areas, including:
Machine Learning / Data Science – building and evaluating predictive models, data pipelines, and analytics systems
Site Reliability Engineering (SRE) / Cloud – automating infrastructure, improving scalability and observability, and ensuring system resilience
AI Security – working on the safety, robustness, and responsible use of AI systems
Product AI (Identity, Governance, and Access) – applying AI to enhance identity management, privilege control, and security policy automation

Please note: Due to the high volume of applications, our review process may take some time. We appreciate your patience and interest in Saviynt’s internship program. Please note that only candidates selected to move forward in the process will be contacted.

WHAT YOU WILL DO:
• Collaborate with technical teams and cross-functional teams on impactful projects
• Design, implement, and test software components or models
• Explore new tools, frameworks, and datasets to enhance product capabilities
• Communicate results and insights to technical and non-technical audiences
• Contribute to documentation, presentations, or demos at the end of your internship

WHAT YOU BRING:
• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• Strong foundation in Python, Java, or similar programming languages
• Familiarity with data structures, algorithms, and software development principles
• Interest or experience in one or more areas: machine learning, cloud computing, cybersecurity, or applied AI
• Excellent problem-solving skills, curiosity, and eagerness to learn
Preferred Qualifications
• Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn (for ML-focused roles)
• Familiarity with AWS, Azure, GCP, or container technologies like Docker/Kubernetes
• Coursework or projects related to AI ethics, data security, or distributed systems
• Strong written and verbal communication skills

If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.