Research Staff, LLMs

About the role

The Role
Deepgram is currently looking for an experienced researcher to join our Research Staff. This individual should have extensive experience working on the hard technical aspects of Large Language Models (LLMs), including data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.

Responsibilities

• Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
• Broad surveying of literature, evaluating, classifying, and distilling current methods
• Designing and carrying out experimental programs for LLMs
• Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
• Documenting and presenting results and complex technical concepts clearly for a target audience
• Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products

Requirements

• 3+ years of experience in applied deep learning research, with a solid understanding of different neural network types, architectures, and loss mechanisms
• Proven experience working with large language models (LLMs)
• Experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
• Strong experience coding in Python and working with Pytorch
• Experience with various transformer architectures (auto-regressive, sequence-to-sequence, etc.)
• Experience with distributed computing and large-scale data processing
• Prior experience in conducting experimental programs and using results to optimize models

Qualifications

• Deep understanding of transformers, causal LMs, and their underlying architecture
• Understanding of distributed training and distributed inference schemes for LLMs
• Familiarity with RLHF labeling and training pipelines
• Up-to-date knowledge of recent LLM techniques and developments

Skills

• Passionate about AI and excited about working on state of the art LLM research
• Interested in producing and applying new science to help us develop and deploy large language models
• Enjoy building from the ground up and love to create new systems
• Strong communication skills and ability to translate complex concepts clearly
• Highly analytical and enjoy delving into detailed analyses when necessary

Benefits

• No benefits mentioned

Pay

• No pay details provided

Schedule

• No schedule details provided