Staff Research Scientist

Summary

Join our core AI team responsible for ASR/NLP and work alongside industry-veteran scientists and engineers to develop cutting-edge AI technology that helps people get unparalleled value from meetings and conversations.

Requirements

• 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++
• Comfort working in a Linux command-line environment

Responsibilities

• Leverage NLP subject matter expertise to design, implement, experiment with neural net architectures, optimization schemes, training pipelines, data acquisition methods
• Take ownership of Otter’s product quality/utility as it relates to the summarization and chat feature capabilities
• Shape the future of the company by setting the research agenda to developing new undiscovered capabilities
• 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, analyze issues and design mitigations