Applied Researcher II (AI Foundations)

What you'll do

• Build AI foundation models through all phases of development including design, training, evaluation, and validation.
• Conduct high-impact applied research to integrate state-of-the-art AI developments into customer experiences.
• Develop production-ready systems using PyTorch, Hugging Face, VectorDBs, and other advanced machine learning technologies.
• Analyze large volumes of numeric and textual data to uncover actionable insights for business products.
• Translate complex technical research into tangible business goals for cross-functional stakeholders.
• Identify and solve large, undefined problems by researching and evaluating emerging AI technologies.
• Deliver scalable models and code for high-volume training and inference environments.
• Own and execute a research agenda by selecting impactful problems and managing long-running projects.

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.
• Experience building large deep learning models for language, images, events, or graphs is required.
• Expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF is required.
• Must have a track record of delivering models at scale regarding both training data and inference volumes.
• Experience delivering libraries, platform-level code, or solution-level code to existing products is required.
• Proven ability to own a research agenda and independently carry out long-running projects is required.
• A track record of innovation in machine learning, such as first author publications, is required.
• Specific expertise in geometric deep learning, large-scale recommender systems, or LLM fine-tuning is preferred.