Chief Research Scientist

Posted 06 February 2024
Salary 350,000 - 500,000
LocationSan Francisco
Job type Permanent
Discipline Data & AI
Contact NameAlexis Navarro
Remote working Hybrid/Flexible

Job description

About the job

Are you ready to redefine the future of artificial intelligence? Our client, is a cutting-edge technology company at the forefront of developing a highly intelligent AI assistant capable of delivering enterprise-grade data solutions. They are seeking a visionary Chief Scientist to lead and scale our AI research team, driving innovation and shaping the next generation of intelligent data solutions.


Key Responsibilities:

  • Leadership: Lead and inspire a talented team of AI researchers, setting the vision and strategy for the development of AI Assistant's advanced capabilities.
  • Innovation: Drive groundbreaking research in artificial intelligence, machine learning, and data science to enhance the AI Assistant's intelligence, efficiency, and effectiveness in providing enterprise-grade solutions.
  • Collaboration: Work closely with cross-functional teams including engineering, product development, and business to ensure seamless integration of cutting-edge AI technologies into our products.
  • Technology Roadmap: Develop and execute a comprehensive technology roadmap, staying ahead of industry trends and maintaining a competitive edge in the field of AI.
  • Recruitment and Development: Build and grow a world-class AI research team, attracting top talent in the field and fostering their professional growth and development.
  • Strategic Partnerships: Collaborate with external partners, academic institutions, and industry leaders to stay at the forefront of AI advancements and potential collaborations.



  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Minimum of 10 years of experience in AI research, with a proven track record of leading successful AI research teams and delivering innovative solutions.
  • Expertise in reinforcement learning, meta learning, self-supervised learning, generative algorithms, and deep learning
  • Strong publication record in reputable conferences and journals.
  • Experience in developing and deploying AI solutions at scale.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.