Applied Researcher II

What you'll do

• Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
• Conduct high-impact applied research to integrate state-of-the-art AI developments into customer experiences.
• Develop large deep learning models for language, images, events, or graphs using open-source tools and cloud platforms.
• Optimize model training and inference through techniques like quantization, sparsification, and parallel training design.
• Translate complex technical research into tangible business goals for cross-functional stakeholders.
• Identify and solve large, undefined problems by researching and evaluating emerging technologies.
• Own and execute a research agenda by selecting impactful problems and managing long-running projects autonomously.

What we're looking for

• Must have a PhD in a relevant field with 2 years of experience or an MS with 4 years of experience in Applied Research.
• Must have hands-on experience developing AI foundation models and solutions using open-source tools and cloud platforms.
• Must possess a deep understanding of the foundations of AI methodologies.
• Must have experience building large deep learning models for language, images, events, or graphs.
• Must demonstrate an engineering mindset with a track record of delivering models at scale for training and inference.
• Must be able to own and pursue a research agenda, including selecting problems and autonomously managing long-running projects.
• Experience in delivering libraries, platform level code, or solution level code to existing products.
• Multiple publications on pre-training large language models or deep learning theory (preferred).