Saviynt
Research Scientist Intern - PhD
Milpitas, California · On-site · Internship · Posted Oct 27, 2026
- Education
- 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.
About the job
Conduct research and develop, implement, and evaluate AI/ML models and software components for product capabilities, sharing results with technical and non-technical teams.
What you'll do
- Collaborate with technical and cross-functional teams on projects; design, implement, and test software components or models.
- Explore tools, frameworks, and datasets to enhance product capabilities.
- Communicate results and contribute to end-of-internship documentation, presentations, or demos.
What they ask for
- Currently enrolled in or recently completed a PhD program in a specified quantitative discipline at an accredited US institution.
- Strong foundation in deep learning and state-of-the-art AI techniques, with practical experience researching, implementing, and optimizing models.
- Advanced proficiency in Python and familiarity with modern AI coding tools or agents.
- Ability to own complex research problems, work under tight constraints, and deliver measurable, high-performance implementations.
Nice to have
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn; familiarity with cloud environments or containerization.
- Production model optimization experience, scholarly AI/ML publications, or relevant open-source research contributions.
Pay
USD 30–50 (per-hour-wage)
Tools
Python, GitHub Copilot, Cursor, Claude, PyTorch, TensorFlow, Scikit-learn, AWS
AI focus
Machine learning and data science research, including model development and evaluation; AI security focused on safety, robustness, and responsible use of AI systems.
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