Research Scientist Intern - PhD

Saviynt

Milpitas, CAOn-siteFull time, Internship
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Pay
$30 to $50
an hour
Location
Milpitas, CA
Work style
On-site
Job type
Full time, Internship
Posted
Oct 27
Today
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About the company

Saviynt

Software Development · 1,001 to 5,000 employees

Our 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 us to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, we help organizations safely accelerate their deployment and usage of AI today.

We are recognized as a leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies, and government institutions.

Saviynt on LinkedIn

What you'll do

  • Collaborate with technical teams to design, implement, and test software components or AI models.
  • Explore new tools and datasets to enhance product capabilities while communicating insights to stakeholders.

What you need

  • Candidates must be currently enrolled in or recently completed a PhD program in a quantitative discipline.
  • Strong proficiency in Python and deep learning, along with practical experience in model optimization, is required.
  • Education: a postgraduate degree

Key skills

Deep learningPythonMachine learningData scienceAI securityPyTorchTensorFlowScikit-learnCloud computingDockerKubernetesPredictive modelingData pipelinesResearchSoftware development

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Perks

  • Career advancement opportunities
  • Learning opportunities

See full description on company page, apply now

Read the full posting here
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. \n 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. \n $30 - $50 an hour We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $30 - $50 dollars an hour. \n 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.

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