Saviynt→
Software Engineering R&D - Internship at Saviynt in Milpitas, CA
InternshipOn-siteFull-timeMilpitas, CA$62k–$94k/yr
Skills
pythonjavamachine learningcloud computingcybersecuritydata structuresalgorithmstensorflowpytorchscikit-learnawsazuregcpdockerkubernetes
Job Description
Summary: Saviynt is a leader in identity security, providing an AI-powered identity platform that manages access to applications and data. The internship offers hands-on experience in various focus areas such as machine learning, cloud infrastructure, and AI security, allowing interns to collaborate on impactful projects and enhance product capabilities.
Responsibilities:
- 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
Required Qualifications:
- Currently pursuing a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- Strong foundation in Python, Java, or similar programming languages
- Familiarity with data structures, algorithms, and software development principles
- Interest or experience in one or more areas: machine learning, cloud computing, cybersecurity, or applied AI
- Excellent problem-solving skills, curiosity, and eagerness to learn
Preferred Qualifications:
- Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn (for ML-focused roles)
- Familiarity with AWS, Azure, GCP, or container technologies like Docker/Kubernetes
- Coursework or projects related to AI ethics, data security, or distributed systems
- Strong written and verbal communication skills
Required Skills: Python, Java
Important Skills: Machine Learning, Cloud Computing, Cybersecurity, Data Structures, Algorithms
Nice-to-Have Skills: TensorFlow, PyTorch, Scikit-learn, AWS, Azure, GCP, Docker, Kubernetes
Benefits: Competitive total rewards package, Learning and tremendous opportunities to grow and advance in your career
Benefits
Competitive total rewards package
Learning and tremendous opportunities to grow and advance in your career