Research Staff, LLMs
About the role
Research Staff role focused on large language models (LLMs) and transformer architectures, with responsibilities spanning data curation, distributed training, RL training, and production deployment of LLM systems within a fast-paced AI-first environment.
Responsibilities
- Brainstorming and collaborating with other 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 focus on their implications and applications within our products
Qualifications
- 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 mechanism
- Proven experience working with large language models (LLMs) - including 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
Skills
Benefits
- Offers Equity
- Offers Bonus
- 10% Annual Bonus
- Estimated Base Salary $150K – $250K

About Deepgram
Building foundational AI for speech transcription and understanding.
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
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