Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the hardest working people in the world. Join us at the forefront of technological advancement.

　　NVIDIA is looking for Senior Data Scientist, LLM Retrieval Augmented Generation to develop high-impact, high-visibility Large language modeI products and improve the experience of millions of customers leveraging our NeMo LLM MLOps platform. If you're creative & passionate about solving real world conversational AI problems, come join our Digital Human LLM team. For more details on NeMo Frameworks for LLMs check https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/

　　What you’ll be doing:

　　Develop, Train, Fine-tune, and Deploy multimodal large language models for retrieval augmented generation

　　Develop LLM agent framework for orchestrating large scale RAG applications

　　Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, and so on to improve LLMs for different RAG use cases

　　Measure and benchmark model and application performance

　　Analyze model accuracy and bias and recommend the next course of action & Improvements.

　　Maintain model evaluation systems

　　Drive the gathering, building, and annotation of domain specific datasets to train LLMs for different tasks and applications.

　　Characterize performance and quality metrics across platforms for various AI and system components

　　Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

　　Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment and collaborate with various teams on new product features and improvements of existing products.

　　What we need to see:

　　Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 5+ years of experience

　　Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design

　　Solid understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs)

　　Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc.

　　Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks using “PyTorch” Deep Learning Frameworks and performing NLP data wrangling and tokenization

　　Develop large scale multimodal information retrieval system leveraging open source frameworks such as LlamaIndex, LangChain, FAISS, Haystack and so one

　　Experience developing production LLM powered applications and tools with natural language interface

　　Understanding of MLOps life cycle and experience with MLOps workflows & traceability and versioning of datasets including knowhow of database management and queries (in SQL, MongoDB etc)

　　Experience using end-to-end MLOps platform such as KubeFlow, MLFlow, AirFlow

　　Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

　　Ways to stand out from the crowd:

　　Fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic/ Korean / Italian / Portuguese

　　Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

　　Background with Dockers and Kubernetes and strong C++ programming skills

　　Background with deploying machine learning models on data center, cloud, and embedded systems

　　Experience developing document extraction for different documents types and sources, and indexing at scale

　　Experience adapting LLMs to different domains such as automotive, health care, finance etc.

　　With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are 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 and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

　　The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

　　You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .