Nvidia Senior Research Scientist Fundamental LLM 

United States, California 

416992439

alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language

What you'll be doing:

• Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.

• Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.

• Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Work with product groups to transfer technology.

• Collaborate with external researchers.

What we need to see:

• PhD in Computer Science or Computer Engineering (or equivalent experience).

• At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects

• A history ofresearch successexemplified by a strong publication record and awards.

• Excellent knowledge of theory and practice of deep learning and natural language processing.

• Background in LLM training, alignment, and evaluation is expected.

• Excellent programming skills in Python and PyTorch.

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• Excellent communications skills.