The Role
Conduct AI and machine learning research involving predictive models, data pipelines, analytics systems, and AI security. Design, implement, test, and optimize software components or models; evaluate tools, frameworks, and datasets; communicate findings; and contribute to documentation, presentations, and demonstrations. The role requires PhD-level research experience in a quantitative discipline and focuses on developing high-performance, production-oriented AI capabilities.
Summary Generated by Built In
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.
Machine Learning / Data Science – building and evaluating predictive models, data pipelines, and analytics systems
AI Security – working on the safety, robustness, and responsible use of AI systems
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 enrolled in or recently completed a PhD degree program in Computer Science, Data Science, Electrical Engineering, Machine Learning, Robotics, or a closely related quantitative discipline at an accredited US institution.
- Strong foundation in deep learning, state-of-the-art AI techniques, and practical experience researching, implementing, and optimizing models.
- Advanced proficiency in Python and familiarity with leveraging modern AI coding tools/agents (e.g., GitHub Copilot, Cursor, Claude) to accelerate development and execution.
- Demonstrated ability to take ownership of complex research problems, work under tight constraints, and deliver measurable, high-performance implementations.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn, along with familiarity in cloud environments (AWS, Azure, GCP) or containerization (Docker/Kubernetes).
- Proven track record of optimizing models for production environments (e.g., latency reduction, memory footprint optimization, or throughput improvement).
- Scholarly publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL) or relevant open-source research contributions.
- Ability to clearly translate complex mathematical/technical AI concepts into simple, actionable insights for technical and non-technical stakeholders alike.
Preferred Qualifications
Estimated start date
05/24/2027
Estimated end date
08/13/2027
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!
Security & Compliance
This role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.
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.
Skills Required
- Currently enrolled in or recently completed a PhD program in Computer Science, Data Science, Electrical Engineering, Machine Learning, Robotics, or a closely related quantitative discipline at an accredited US institution.
- Strong foundation in deep learning and state-of-the-art AI techniques.
- Practical experience researching, implementing, and optimizing machine learning models.
- Advanced proficiency in Python.
- Familiarity with modern AI coding tools or agents such as GitHub Copilot, Cursor, or Claude.
- Ability to take ownership of complex research problems, work under tight constraints, and deliver measurable, high-performance implementations.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
- Familiarity with AWS, Azure, GCP, Docker, or Kubernetes.
- Experience optimizing models for production environments, including latency, memory footprint, or throughput improvements.
- Scholarly publications in top-tier AI/ML conferences or relevant open-source research contributions.
- Ability to translate complex mathematical and technical AI concepts into actionable insights for technical and non-technical stakeholders.
Saviynt Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Saviynt and has not been reviewed or approved by Saviynt.
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Leave & Time Off Breadth — Flexible or unlimited PTO, generous parental leave, paid holidays, and periodic mental health days point to a wide range of time‑off options. These policies are positioned to support rest and balance when teams can make use of them.
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Healthcare Strength — Medical, dental, and vision coverage are provided alongside options like FSAs, reflecting comprehensive core health benefits. Affordability and plan quality are often highlighted as positives.
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Retirement Support — A 401(k) program with employer contributions is available, reinforcing long‑term financial security. This complements equity and ESPP elements within total rewards.
Saviynt Insights
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The Company
What We Do
Saviynt’s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and privileged access to secure the entire business ecosystem and provide a frictionless user experience.
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