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DeepgramResearch Staff, LLMs [EMEA - Remote]
Deepgram seeks an experienced researcher to join its team as a Research Staff member focusing on Large Language Models in the EMEA region. Deepgram operates as…
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About this role
Research Staff, LLMs [EMEA - Remote] at Deepgram is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Nov 3, 2026. This listing is paused and not taking applications at the moment.
Job Description
Deepgram seeks an experienced researcher to join its team as a Research Staff member focusing on Large Language Models in the EMEA region. Deepgram operates as a voice AI platform providing speech-to-text, text-to-speech, and voice agent tools utilized by over two hundred thousand developers and numerous organizations. The enterprise focuses on overcoming fundamental audio data challenges through novel AI paradigms. This role requires an AI-first mindset where team members constantly experiment with advanced tools and adapt to rapid changes.
The position suits individuals who thrive on solving complex technical hurdles, enjoy building new systems from the ground up, and possess strong analytical skills. Candidates should be comfortable with continuous learning and fast-evolving day-to-day work rather than a predictable traditional schedule. Responsibilities involve defining new initiatives, conducting literature reviews, running experimental programs, managing distributed training workloads, and communicating technical findings clearly.
Responsibilities
- Collaborate with peers to establish new research initiatives centered on large language models
- Survey, evaluate, classify, and distill current industry literature
- Design and execute experimental programs focused on large language models
- Manage distributed computing infrastructure for training transformer jobs and deploying production models
- Document and present intricate technical information to various audiences
- Track ongoing advancements in deep learning and large language models for product application
Requirements
- Three or more years of experience in applied deep learning research alongside an understanding of neural network architectures, types, and loss mechanisms
- Demonstrated background working with large language models, including data curation, distributed large-scale training, transformer optimization, and reinforcement learning
- Proficiency in Python coding and PyTorch utilization
- Familiarity with multiple transformer architectures such as auto-regressive and sequence-to-sequence models
- Experience managing distributed computing and large-scale data processing workflows
- Prior involvement in running experimental programs and utilizing results for model optimization
Qualifications
- Deep comprehension of transformers, causal language models, and core underlying architecture
- Familiarity with distributed training and inference schemes specific to large language models
- Knowledge concerning reinforcement learning from human feedback labeling and training pipelines
- Current awareness of recent developments and techniques in large language models
- Published research papers within deep learning, particularly involving large language models and neural networks
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
The posting specifies that this role is remote within the EMEA region.
What is the employment type?
The job posting indicates that this is a full-time position.
What salary does this position offer?
The salary is not stated in the job posting.
What are the core technical experience requirements?
Candidates must have at least three years of applied deep learning research experience, strong Python and PyTorch skills, and proven background with large language models including distributed training and transformer optimization.
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