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Research Staff, LLMs [EMEA - Remote]
Machine learningRemote — EMEA
Published on 2026-11-02
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About this role
Conduct applied LLM research focused on data curation, large-scale distributed training, transformer optimization, and reinforcement learning. Design experiments, scale promising approaches, and help deploy new models into production, with a focus on advancing Deepgram’s voice AI products.
About the company
Deepgram builds speech-to-text and voice AI APIs that convert audio into text and power voice applications for developers and enterprises.
The team
Research
Stack
PythonPyTorchTransformersLLMsDistributed computing
What you'll do
- Define LLM research initiatives with Research Staff colleagues
- Survey and evaluate current research methods
- Design and run LLM experiments
- Train transformer models on distributed compute infrastructure and deploy models to production
- Document and present research findings and technical concepts
- Track advances in deep learning and LLMs and assess their product applications
What we're looking for
- 3+ years of applied deep learning research experience
- Hands-on LLM experience, including data curation, distributed large-scale training, transformer optimization, and RL training
- Strong Python and PyTorch skills
- Experience with autoregressive and sequence-to-sequence transformer architectures
- Experience with distributed computing and large-scale data processing
- Experience designing experiments and using results to optimize models
Nice to have
- Deep understanding of transformers, causal language models, and their architectures
- Experience with distributed LLM training and inference
- Familiarity with RLHF labeling and training pipelines
- Published research papers related to LLMs or deep neural networks
- Up-to-date knowledge of recent LLM methods and developments