Applied Researcher V

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.
• Develop production-ready AI systems using technologies like PyTorch, Hugging Face, and AWS infrastructure.
• Lead cross-functional research threads to bridge the gap between prototype model development and large-scale deployment.
• Translate complex technical research into tangible business goals for product managers and stakeholders.
• Identify and solve complex, undefined problems by researching and evaluating emerging technologies and methodologies.
• Manage an independent 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 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.
• Must have experience delivering libraries, platform-level code, or solution-level code to existing products.
• Must possess the ability to own a research agenda and autonomously carry out long-running projects.
• Experience with LLM pre-training, optimization, or fine-tuning is preferred.
• Multiple publications in deep learning theory or at major conferences like Neurips, ICML, or ICLR are preferred.