We are looking for a Staff Research Scientist for a company who are innovating in the field of speech-to-text solutions.
They have created an industry-leading tool with the mission to make conversation more valuable.
Your Impact:
- Leverage NLP subject matter expertise to design, implement, experiment with neural net architectures, optimization schemes, training pipelines, data acquisition methods
- Explore methods to leverage large-scale real-world conversational data to develop new capabilities such as multi-modal LLMs
- Collaborate with Machine Learning Engineers and Scientists to evaluate model performance.
We're looking for someone who:
- 10+ years industry experience with large scale data processing and infrastructure, model training and model serving for NLP solutions and algorithms including transformer models and reinforcement learning
- Masters or Ph.D. degree in computer science, machine learning, speech/language processing or related field
- Hands-on experience developing, training and deploying large language models (LLMs) such as Llama2, and other transformer-based models for tasks including text generation, summarization, and classification
- Experience working on deep learning frameworks such as PyTorch or JAX for implementing and optimizing deep learning algorithms
- Experience with implementation of algorithms and infrastructures using programming languages such as Python, C++
#Research #ASR #Speech #Audio #GenAI
