Applied AI Scientist

What you'll do

• Evaluate and adapt emerging research in generative AI and multimodal foundation models.
• Conduct applied research experiments to bridge the gap between research advances and practical applications.
• Transform promising research approaches into robust production solutions for future hardware and products.
• Manage large-scale data pipelines including data curation, preprocessing, and efficient storage.
• Fine-tune and optimize large models for production deployment.
• Apply foundation models to build autonomous or semi-autonomous agents with multi-step reasoning.
• Develop solutions for multimodal alignment across vision, language, and video domains.

What we're looking for

• MS in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• Minimum of 6 years of relevant experience.
• Experience in deep learning with demonstrated work in at least one area of multimodal systems.
• Proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
• Experience with rapid prototyping, reproduction, and validation of research ideas.
• PhD or equivalent practical experience in Computer Science, Machine Learning, or a related technical field (preferred).
• Demonstrated expertise in deep learning via a publication record or a track record of applying techniques to real-world products (preferred).
• Experience with foundation models, large-scale data pipelines, and optimizing large models for production (preferred).