ML Research Scientist (Researcher)

Goal: Solve the hardest problem in AI: Teaching machines to be genuinely creative. 

You will: 

● Invent new methods beyond pattern matching to build creative reasoning and artistic decision-making 

● Build models that generalize and create across a variety of mediums - design, commercials, films, storytelling, and undiscovered formats 

● Develop bitter-lesson-aligned ML models for computational creativity 

● Access lots of GPUs to test ideas and scale from concept to superhuman creative capability ● Work with world-class artists to understand and encode the essence of human genius 

● Push AI beyond optimization to create new frontiers of what humans can imagine and create 

Candidate Background: 

● Ability to invent new methods from scratch, requiring deep knowledge of ML fundamentals (math, probability, optimization) rather than just applying existing GenAI frameworks. 

● PhD in Computer Science or Machine Learning preferred. Exceptional candidates with an MSc and a significant history of high-impact research will be considered. 

● Proven ability to advance the state of the art, evidenced by multiple peer-reviewed papers at top venues like NeurIPS, ICML, ICLR, or AAAI.