Research Scientist - LLMs

(Full Time) Research Scientist - LLMs at Deepgram (United States)

Research Scientist - LLMs

Deepgram United States

Date Posted: 02 Aug, 2023

Work Location: San Francisco, United States

Salary Offered: $150000 — $250000 yearly

Job Type: Full Time

Experience Required: 3+ years

Remote Work: Yes

Stock Options: No

Vacancies: 1 available

At Deepgram, we spend every day tackling big, real-world challenges in speech. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights. And to raise the bar, everything we build needs scale in its DNA; we aren’t content with simple horizontal scaling: we intend to replace entire data centers dedicated to speech analytics with a single rack of servers. These challenges provide opportunities for creativity and innovative problem-solving every day. Deepgram’s Research Scientists tackle some of the most exciting and difficult problems on the forefront of ASR and NLU technologies.

You’ll have the freedom to innovate and uncover breakthroughs — and influence our product roadmap in turn. We look forward to you bringing your whole self to work, sharing learnings from your latest experiments, and collaborating with us to advance the state of speech technology.

The Role

Deepgram is currently looking for an experienced Research Scientist who has worked extensively with Large Language Models (LLMs) and has a deep understanding of transformer architecture. This individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.

What You’ll Do

1. Brainstorming and collaborating with other members of the research team to define new LLM research initiatives
2. Broad surveying of literature, evaluating, classifying, and distilling current methods
3. Designing and carrying out experimental programs for LLMs
4. Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
5. Documenting and presenting results and complex technical concepts clearly for a target audience
6. 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

You’ll Love This Role If You

1. Are passionate about AI and excited about working on state of the art LLM research
2. Have an interest in producing and applying new science to help us develop and deploy large language models
3. Enjoy building from the ground up and love to create new systems
4. Have strong communication skills and are able to translate complex concepts clearly
5. Are highly analytical and enjoy delving into detailed analyses when necessary

It’s Important To Us That You Have

1. 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanisms
2. Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
3. Strong experience coding in Python and working with Pytorch
4. Experience with various transformer architectures (auto-regressive, sequence-to-sequence, etc.)
5. Experience with distributed computing and large-scale data processing
6. Prior experience in conducting experimental programs and using results to optimize models

It Would Be Great if You Had

1. Deep understanding of transformers, causal LMs, and their underlying architecture
2. Understanding of distributed training and distributed inference schemes for LLMs
3. Familiarity with RLHF labeling and training pipelines
4. Up-to-date knowledge of recent LLM techniques and developments
5. Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks

About Deepgram

Building foundational AI for speech transcription and understanding.

Company Size: 51 - 250 People

Year Founded: 2015

Country: United States

Company Status: Actively Hiring