Staff Research Engineer

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, and 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:Has 10+ years of 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.Holds a Masters or Ph.D. degree in computer science, machine learning, speech/language processing, or a related field.Has 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.Has experience working on deep learning frameworks such as PyTorch or JAX for implementing and optimizing deep learning algorithms.Has experience with implementation of algorithms and infrastructures using programming languages such as Python and C++.

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