Otter.ai
Otter. ai is a company that offers an AI-powered meeting assistant designed to improve productivity and collaboration in meetings. Its innovative solutions provide real-time automatic transcription, note-taking, and summarization of meetings, enabling users to focus on participation rather than note-taking. Otter. ai integrates seamlessly with popular communication platforms such as Zoom, Google Meet, and Microsoft Teams, and offers features to enhance workflows in sales, education, media, and more. With tools like OtterPilot and Otter AI Chat, users can extract insights, automate action items, and stay aligned with teammates through a shared Slack channel and other integrations.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
💰 $50M Series B on 2021-02
Staff Research Scientist
September 16, 2024
🇺🇸 United States – Remote
💵 $210k - $275k / year
⏰ Full Time
🔴 Lead
🧬 Research Scientist
🦅 H1B Visa Sponsor
Otter.ai
Otter. ai is a company that offers an AI-powered meeting assistant designed to improve productivity and collaboration in meetings. Its innovative solutions provide real-time automatic transcription, note-taking, and summarization of meetings, enabling users to focus on participation rather than note-taking. Otter. ai integrates seamlessly with popular communication platforms such as Zoom, Google Meet, and Microsoft Teams, and offers features to enhance workflows in sales, education, media, and more. With tools like OtterPilot and Otter AI Chat, users can extract insights, automate action items, and stay aligned with teammates through a shared Slack channel and other integrations.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
💰 $50M Series B on 2021-02
📋 Description
• Develop AI technology for valuable conversations and meetings. • Design and implement neural net architectures and optimization schemes. • Take ownership of product quality for summarization and chat features. • Set the research agenda for new capabilities. • Collaborate with ML Engineers to evaluate model performance.
🎯 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
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🇺🇸 United States – Remote
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