Software Engineering R&D - Internship at Saviynt

San Francisco, California, United States

Saviynt Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Identity Security, Cybersecurity, AI, Cloud ComputingIndustries

Requirements

  • 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

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
  • Complete security & privacy literacy and awareness training during onboarding and annually thereafter
  • Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures (e.g., Data Classification, Retention & Handling Policy; Incident Response Policy/Procedures; Business Continuity/Disaster Recovery Policy/Procedures)

Skills

Machine Learning
Data Science
Predictive Models
Data Pipelines
Site Reliability Engineering
SRE
Cloud Infrastructure
AI Security
Identity Governance
Access Management
Python
Automation
Scalability
Observability

Saviynt

Cloud-based identity security and access governance

About Saviynt

Saviynt provides a cloud-based platform focused on identity security and access governance for businesses. Its services include identity governance and administration, third-party access governance, and cloud privileged access management, all aimed at helping organizations manage and secure digital identities, including those of employees and vendors. The platform features automated workflows and tools that simplify identity lifecycle management, while offering visibility and analytics to help businesses stay audit-ready and reduce identity-related risks. Unlike many competitors, Saviynt emphasizes user-friendliness and ease of implementation, making it accessible for a wide range of clients from small businesses to large enterprises. The company's goal is to protect major brands and support their cloud and security initiatives through a subscription-based model that ensures ongoing revenue and investment in product development.

El Segundo, CaliforniaHeadquarters
2010Year Founded
$165.4MTotal Funding
DEBTCompany Stage
Enterprise Software, CybersecurityIndustries
1,001-5,000Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

Emerging identity security startups pose a threat to Saviynt's market share.
Rapid AI advancements may outpace Saviynt's current technological capabilities.
Data privacy and regulatory challenges could hinder global service expansion.

Differentiation

Saviynt offers a unified platform for cloud, enterprise, and big data security.
The AI-powered Intelligence Suite enhances decision-making in identity and access management.
Saviynt's user-friendly platform simplifies identity lifecycle management with automated workflows.

Upsides

Saviynt's recognition as a 2024 Gartner Customers' Choice highlights strong customer satisfaction.
Partnership with SPG expands cybersecurity capabilities and market reach.
Hiring industry experts strengthens Saviynt's leadership and product marketing efforts.

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