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We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
Job Responsibility:
Lead a talented ML team and keep pushing the boundaries of AI-based content creation
Develop and deploy state-of-the-art machine learning systems to production
Work weekly with leadership and the engineering team as a whole to review and set priority around goals
Build a team of skilled engineers from diverse backgrounds
Requirements:
2+ years of experience in a team lead or engineering manager role
4+ years of industry experience in an engineering and/or research role
Strong background building impactful and novel machine learning projects, ideally with expertise in large scale, distributed training
Experience training diffusion models or LLM's from scratch
Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
Empathetic and inclusive leadership style
Ability to rapidly prototype solutions and iterate on them with tight product deadlines
Strong communication, collaboration, and documentation skills
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