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· Principal
Research Staff, LLMs
AI / ML Engineer
• Principal
• Remote
• Vollzeit
• 📍 EMEA
Deepgram, a leading Voice AI platform providing real-time speech-to-text, text-to-speech, and production-grade voice agent APIs, is hiring an experienced researcher for its Research Staff. The role is for someone who has worked extensively with Large Language Models and has a deep understanding of transformer architecture, including the hard technical aspects such as data curation, distributed large-scale training, transformer architecture optimization, and Reinforcement Learning training. Deepgram operates with an AI-first mindset and at a fast pace, so candidates should be comfortable experimenting, adapting, and continuously learning.
Responsibilities
- ▹Brainstorm and collaborate with other Research Staff members to define new LLM research initiatives
- ▹Broadly survey literature, evaluating, classifying, and distilling current methods
- ▹Design and carry out experimental programs for LLMs
- ▹Drive transformer (LLM) training jobs successfully on distributed compute infrastructure and deploy new models into production
- ▹Document and present results and complex technical concepts clearly for a target audience
- ▹Stay up to date with the latest advances in deep learning and LLMs and their applications within the products
Requirements
- ▹3+ years of experience in applied deep learning research, with a solid understanding of the applications and implications of different neural network types, architectures, and loss mechanisms
- ▹Proven experience working with large language models (LLMs), including data curation, distributed large-scale training, optimization of transformer architecture, and RL
- ▹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 conducting experimental programs and using results to optimize models
- ▹Comfort with an AI-first mindset, actively using and experimenting with advanced AI tools in daily work
Nice to have
- ▹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
- ▹Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Soft skills
Curiosity and obsession with hard, unsolved problemsAbility to identify the critical experiment that validates or kills an idea quicklyStrong communication skills to translate complex concepts clearlyHighly analytical mindsetAdaptability and continuous learning in a fast-paced environment
What we offer
- ▹Medical, dental, and vision benefits
- ▹Annual wellness stipend and mental health support
- ▹Life, STD, and LTD income insurance plans
- ▹Unlimited PTO, parental leave, and a flexible schedule
- ▹12 paid US company holidays
- ▹Quarterly personal productivity stipend and a one-time home office upgrade stipend
- ▹401(k) plan with company match and tax savings programs
- ▹Learning/education stipend and participation in talks and conferences
- ▹Employee Resource Groups and AI enablement workshops (benefits differ by region; outside the US an Employer of Record model is used)