Summary
Join our team as a Senior Research Engineer to contribute to cutting-edge Speech and Natural Language Processing (NLP) research, leveraging expertise in deep learning, JAX, and distributed systems.
Requirements
- 2+ years of professional experience in deep learning research & development
- Hands-on experience with JAX/TPUs and distributed training
- Excellent knowledge of GPU and TPU hardware
- Strong Python programming skills
- Expertise in deep learning architectures and techniques such as CNNs, Transformers, SSMs, self-supervised learning, etc
- Experience with training large Transformer models on distributed systems
- Strong written and verbal communication skills for technical matters
Responsibilities
- Train large-scale Speech AI models, including speech-focused multi-modal LLMs and ASR models with billions of parameters
- Write and optimize training code for maximum efficiency and memory utilization
- Stay up-to-date on the latest AI research and share insights across the company
- Collaborate with the technology leadership team to prioritize the research and engineering agenda, define project scopes, and lead their execution
Benefits
Salary range: $185K - $260K