Lead Software Security Engineer

About TwelveLabs

At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.

With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

About the Role

As the Lead Software Security Engineer at TwelveLabs, you will be at the forefront of pioneering efforts to fortify and uphold the security and compliance standards for our cutting-edge AI models. You will play a pivotal role in devising systems that prioritize security by conducting robust security evaluations, architecting resilient security infrastructure, cultivating secure-by-default frameworks, and embedding the principle of least privilege. You will have the unique opportunity to shape the direction and protocols for AI security, trailblazing new pathways in both an emergent field and a fresh, dynamic team.

Responsibilities

AI and Model Development Security

• Secure Model Development Environment: Design and implement security measures throughout the model development cycle, from training data protection to safeguarding the training and deployment code. Ensure that the AI/ML pipelines are impervious to unauthorized access and potential breaches.
• Protection of Trained Model Weights: Develop strategies and controls to safeguard the weights of trained models.

Software Development Security

• Security Policies & Procedures: Shape policies and procedures to embed security into product design, infrastructure, and employee practices.
• Secure Software Development Environment: Construct and maintain a security-centric software development environment, emphasizing safe coding practices that preempt potential security threats from inception.

System Security & Compliance

• Customer Data Protection and Compliance: Architect rigorous protocols to safeguard customer data, ensuring our processes and products always align with leading compliance standards, including SOC2, GDPR, and ISO.
• Security Assessments & Fix Vulnerability: Regularly perform penetration testing and security audits to detect and remediate vulnerabilities, fortifying our commitment to unmatched system security.
• Secure Deployments: Drive the blueprint and rollout of watertight strategies for on-premise deployments. This will involve comprehensive licensing validation mechanisms, advanced code encryption and obfuscation, and model encryption to restrict unauthorized codebase access.

Qualifications

• Bachelors or Masters in Computer Science, cybersecurity, or equivalent experience.
• +10 years in the industry working on security, privacy, and engineering
• Proven experience with Cloud and Networking infrastructure and security on AWS, GCP or Azure.
• Good understanding of the Linux Operating System, Networking, Security Monitoring, Intrusion Detection & Response, Authentication & Access Control and Security Protocols.
• Proven experience

Employment Details

• Salary: $184K - $215K
• Location Type: Remote
• Employment Type: FullTime