Nvidia PhD Intern Applied Research Scientist Retriever - Fall 

United States, California 

99662479

What you’ll be doing:

• Working with our team of researchers to fine-tune information retrieval models and develop pipelines for text, image, video, audio, and other modalities content.

• Exploring and crafting datasets, designing metrics, running experiments, and evaluating models in order to develop standard methodologies. These methodologies will offer customers clear guidance on which models and pipelines to apply in specific contexts.

• Helping ML Engineers bring new Retrieval models to production as NVIDIA Inference Microservices (NIMs) or blueprints

• Writing blog posts, documentation, training materials and potentially papers, that help customers understand and take advantage of our research

• Keeping up to date with the latest developments in Retrieval across academia and industry

What we need to see:

• Pursuing a PhD in Computer Science or other relevant technical fields

• Excellent Python programming skills and a strong understanding of the Python deep learning ecosystem (in particular PyTorch)

• Excellent knowledge of the current state of Deep Learning, including experience fine-tuning state of the art Large Language Models and Computer Vision models

• Strong communication skills and the ability to share and communicate your ideas clearly through blog posts, papers, kernels, GitHub, etc.

Ways to stand out from the crowd:

• Strong research track record and publication record at top-tier conferences

• Knowledge in multi-GPU and multi-node training

• Prior background and/or academic publication in Retrieval research

• Prior work experience and/or academic publication in (multimodal) Large Language Models

You will also be eligible for Intern