Director of Engineering, Twelve Labs

• Experience: 10+ years in software development, with a strong background in machine learning engineering. At least 5+ years of experience in end-to-end machine learning system development, including infrastructure, MLOps, and data management
• Managerial Skills: Demonstrated ability in leading and scaling high-performance engineering teams, with a minimum of 3+ years in a managerial role overseeing ML engineering or related teams. Proven track record in hiring and mentoring engineers, and fostering a positive team culture
• Technical Proficiency: Expertise in video processing, data pipelining, and handling large-scale computing systems. Familiarity with cloud and on-premise infrastructure setups
• Industry Knowledge: Experience in fast-paced startup environments, managing teams that deliver complex ML systems

Desirable

• As the Director of Engineering, ML, you will play a pivotal role in leading our ML Engineering team, expanding our capabilities in video foundation models (VFM) and language models (VLM) for deployment in production
• This role involves hands-on leadership in the initial months, transitioning to strategic management to ensure our technology leads the market in speed, efficiency, and reliability
• Your mission will encompass building a team of 10-15 top-tier engineers, fostering a culture of innovation, and setting the technical direction in collaboration with the CTO and other key stakeholders
• Team Building & Culture: Spearhead the recruitment of ML engineers, data engineers, and infrastructure engineers. Cultivate a culture of excellence and best practices, enabling efficient collaboration across different time zones, particularly between Seoul and the US
• Technical Leadership: Align with the CTO and managerial team to establish and execute the technical vision. Ensure the engineering team’s work aligns with the overarching goals of optimizing ML systems for video understanding
• Mentorship: Provide guidance and mentorship to engineering managers, fostering their professional growth and leadership skills
• Innovation & Strategy: Drive innovations in ML Deployment & Operations (VFMOps / VLMOps), ensuring the deployment pipeline and model serving are optimized. Oversee the data infrastructure, ensuring the quality and efficiency of video data preparation