PhD Intern, Applied Research Scientist Retriever - Fall 2025
NVIDIA
On-site 🏢 30 April
R&D, Innovation
California, United States 🇺🇸
The NVIDIA Retriever Team is seeking an Applied Research Intern who will work on the next generation of retrieval pipelines for RAG, with a focus on modalities beyond text. You’ll join a team of experienced Research Scientists, ML and Software Engineers developing NVIDIA’s components for enterprise RAG applications, including but not limited to embedding, ranking, object/text detection, OCR, and llm-as-a judge models or highly optimized containers.
At NVIDIA, we are building the framework upon which production RAG systems are based. We have contributed to top research models in the text embedding space, topping the MTEB leaderboard and have developed commercially viable versions of these models for use in production systems by our customers.
Come be a part of our world-class team building the future of Retrieval!
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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The hourly rate for our interns is 30 USD - 90 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar jobs
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