Head -Artificial Intelligence

In this critical role, you will lead a team of ML researchers that partners with colleagues across multiple disciplines of the company to create innovative AI solutions. You will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.

What You'll Do

• Cutting-Edge Research:
• Drive the exploration and implementation of novel techniques across core AI domains, including but not limited to computer vision, natural language processing, and generative AI, ensuring the organization remains at the forefront of technological advancement
• Stay abreast of the latest advancements in AI research and identify opportunities for innovation
• Represent the company at leading AI conferences and publish research findings in top-tier journals
• Act as a key liaison between the AI team and various business units, deeply understanding their challenges and opportunities and translating them into well-defined, actionable machine learning problems
• Build and empower a world-class AI team:
• Mentor and lead a high-performing team of AI scientists, fostering a collaborative and supportive environment that encourages growth and development. Conduct performance reviews to ensure team members are meeting their goals and contributing to the success of the AI team
  • Recruit, develop, and retain top AI talent
• Project management:
• Ensure timely delivery of AI Research projects, maintaining a balance between innovation, quality and efficiency
• Provide technical leadership and research direction, exploring innovative applications of AI
• Develop and execute a strategic research roadmap aligned with the company's overall goals
• Effective Communication:
• Clearly articulate complex AI concepts and their business implications to both technical and non-technical stakeholders
  What You'll Need
  • PhD or master's degree in computer science or related fields
  • Extensive experience (10+ years) in AI research, with a demonstrable track record of leading successful research teams
  • Strong expertise in various AI/ML concepts and paradigm
  • A strong publication record in machine learning, computer vision, or related fields is desired at conferences such as SIGGRAPH, ICML, ICLR, NeurIPS, CVPR, ICCV, or ECCV
  • Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, LLM, GenAI, etc.
  • Ability to convey rigorous mathematical and scientific concepts to non-experts