Applied AI Scientist - Multimodal Intelligence

What you'll do

• Evaluate and adapt emerging research; run applied research experiments and validate research ideas.
• Collaborate with engineering and other teams to turn promising approaches into robust product solutions.
• Help shape research directions in multimodal foundation models, considering future hardware design and product needs.

What they ask for

• Deep learning experience with demonstrated work in at least one multimodal area, such as vision, language, or video.
• Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
• Experience rapidly prototyping, reproducing, and validating research ideas.
• Master's degree or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.

Nice to have

• PhD or equivalent practical experience in Computer Science, Machine Learning, or a related technical field.
• Relevant research publications or a strong record of applying deep learning to real-world products.

Pay

$142,300 and $263,300 USD base salary; $150,400 and $277,600 USD base salary

Tools

Python, PyTorch, JAX

AI focus

Applied research in generative AI and multimodal foundation models, including evaluation and adaptation of emerging research for product applications.