Researcher - Foundations of Generative AI

• Apply research and engineering skills to develop, prototype, and evaluate cutting-edge research ideas.
• Work closely with other researchers and engineers to rapidly prototype and test new research ideas, driving a high-impact agenda and publishing results where appropriate.
• Collaborate hands-on with other researchers, engineers, and internal and external product groups to deliver high-impact solutions to real-world problems.
• Embody our culture and values.

• Doctorate (or currently pursuing) in Computer Science or relevant field

• OR equivalent experience., * Doctorate in Computer Science or relevant field AND 2+ years related research experience
• OR equivalent experience.

• Research program demonstrated by public artifacts like models, tools, code in the AI space or publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.
• 2+ years of academic or industry experience in developing, applying, and/or implementing algorithms for machine learning/statistics, using common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace.
• Experience publishing academic papers as a lead author or essential contributor in a top AI conference or journal.
• Deep understanding of frontier model architectures, especially transformers and state space models
• Hands-on experience building and working with Large Language Models (LLMs) or multimodal models (VLMs, VLAs), including pre-training, fine-tuning, and inference
• 2+ years of industry or academic experience with building, debugging and optimizing large-scale ML training pipelines.
• Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies. Providing a link to a GitHub profile and/or code samples on your CV/resume, is highly encouraged.
• Ability to work independently and ramp-up quickly on complex projects or unfamiliar code
• Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team
• Keen interest in real-world applications and impact.

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