lever
Research Scientist Intern - PhD
Saviynt
Milpitas, USA
Intern
Onsite
USD 30-50 / hour
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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.
Preferred Qualifications
- 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.
- 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.
- 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.
Qualifications
- 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.
About Saviynt
Cybersecurity
Saviynt provides a cloud-native identity security platform that governs access for human, machine, and AI identities across enterprise environments.
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