Award-winning voice-first team collaboration app for meetings and conversations. Otter Voice Meeting Notes.
3 days ago
🏢 In-office - Bay Area
Award-winning voice-first team collaboration app for meetings and conversations. Otter Voice Meeting Notes.
• Do you want to develop cutting edge AI technology to help people get unparalleled value from meetings and conversations? • Contribute fundamental research to product development and drive the industry forward. • Join our core AI team responsible for ASR/NLP and work alongside industry-veteran scientists and engineers. • 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.
• Experience with large scale data processing and infrastructure, model training and model serving for NLP solutions and algorithms including transformer models and reinforcement learning. • 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. • Masters degree + 3 years of industry experience or Ph.D. degree in computer science, machine learning, speech/language processing or related field.
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