Research Scientist Intern - PhD

Saviynt • Milpitas, CA

4h • $30 - $50

About The Position

Saviynt is seeking a Research Scientist Intern to work on projects at the intersection of AI, security, cloud infrastructure, and data. The internship may involve machine learning and data science work, including building and evaluating predictive models, data pipelines, and analytics systems, or AI security work focused on the safety, robustness, and responsible use of AI systems. Interns work alongside experienced engineers, data scientists, and product teams to explore technologies and contribute to product innovation.

The intern will collaborate with technical and cross-functional teams, design and test software components or models, explore tools and datasets, communicate results to technical and non-technical audiences, and contribute to end-of-internship documentation, presentations, or demos. The role requires adherence to Saviynt’s information security and privacy policies, including annual security training. The estimated internship period is May 24, 2027, through August 13, 2027. Compensation is estimated at $30–$50 per hour; final compensation depends on factors including location, skills, experience, training, and organizational needs.

Requirements

• 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 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.
• Ability to clearly translate complex mathematical and technical AI concepts into actionable insights for technical and non-technical stakeholders.

Nice To Haves

• Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with cloud environments such as AWS, Azure, or GCP, or containerization tools such as Docker or Kubernetes.
• Track record of optimizing models for production, such as reducing latency or memory footprint or improving throughput.
• Scholarly publications in top-tier AI/ML conferences such as NeurIPS, ICML, CVPR, or ACL, or relevant open-source research contributions.

Responsibilities

• Collaborate with technical and cross-functional teams on impactful projects.
• Design, implement, and test software components or models.
• Explore 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 the internship.
• Adhere to Saviynt’s information security and privacy policies and procedures, including annual security training.

Benefits

• Competitive total rewards package.
• Learning and opportunities to grow and advance in your career.
• Tremendous growth and learning opportunities through challenging and rewarding work.
• Welcoming and positive work environment.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree