Lead Software Security Engineer

California, United States

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$184,000 – $215,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software Development, CybersecurityIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, cybersecurity, or have equivalent experience. A minimum of 10 years in the industry working on security, privacy, and engineering is required, along with proven experience with Cloud and Networking infrastructure and security on AWS, GCP, or Azure. A good understanding of the Linux Operating System, Networking, Security Monitoring, Intrusion Detection & Response, Authentication & Access Control, and Security Protocols is also necessary.

Responsibilities

The Lead Software Security Engineer will design and implement security measures throughout the AI model development cycle, protect trained model weights, and shape policies and procedures to embed security into product design, infrastructure, and employee practices. They will construct and maintain a security-centric software development environment, architect rigorous protocols for customer data protection and compliance with standards like SOC2, GDPR, and ISO, and regularly perform penetration testing and security audits to detect and remediate vulnerabilities. Additionally, they will drive the blueprint and rollout of watertight strategies for on-premise deployments, including licensing validation, code encryption, and model encryption.

Skills

Software Security

AI Security

Security Evaluations

Security Infrastructure

Secure-by-default Frameworks

Least Privilege

Compliance Standards

Multimodal Foundation Models

Video-Language Modeling

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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