Applied Researcher II (AI Foundations)

What you'll do

• Build AI foundation models through all phases of development including design, training, evaluation, validation, and implementation.
• Conduct high-impact applied research to integrate state-of-the-art AI developments into next-generation customer experiences.
• Utilize a broad technology stack including PyTorch, AWS Ultraclusters, HuggingFace, and VectorDBs to analyze large volumes of data.
• Translate complex technical research into tangible business goals for product, technology, and business leaders.
• Research and evaluate emerging technologies while staying current on published state-of-the-art methods and applications.
• Develop scalable models and solutions that handle high training data and inference volumes.
• Own and pursue a research agenda by selecting impactful problems and executing long-running projects autonomously.

What we're looking for

• Must have a PhD in a relevant field or an MS with at least 4 years of experience in Applied Research.
• Must have a PhD in a relevant field or a Master's degree plus 2 years of experience in Applied Research.
• Experience building large deep learning models for language, images, events, or graphs is required.
• Expertise is required in one or more areas: training optimization, self-supervised learning, robustness, explainability, or RLHF.
• Must have hands-on experience developing AI foundation models using open-source tools and cloud computing platforms.
• Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
• A track record of innovation in machine learning is preferred, demonstrated by first-author publications or significant projects.
• Preferred candidates have experience training large language models with over 10 billion parameters and 500 billion tokens.