Otter.ai

πŸ‘₯ 101-250πŸ’° $10,000,000 Series B about 4 years agoArtificial Intelligence (AI)Consumer SoftwareInformation TechnologyEnterprise SoftwareCollaborationπŸ’Ό Private Company
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Otter.ai revolutionizes meeting productivity with its collaborative note-taking app, Otter Voice Notes. We transform voice conversations – from meetings and interviews to lectures – into instantly accessible, actionable data. This allows business professionals, journalists, and students to generate rich, searchable, and easily shared notes. Our market-leading position is fueled by proprietary technologies in speech recognition, speaker separation, speaker ID, and keyword/topic extraction, processing over 1 billion meeting transcriptions to date. Our engineering team thrives on a cutting-edge tech stack, including Python, C++, PyTorch, and JAX, leveraging large-scale data processing and infrastructure to build and deploy powerful LLMs. We value innovation and collaboration, fostering an environment where research directly impacts product development. Our remote-friendly culture empowers our team to work flexibly and efficiently while contributing to a globally impactful product. Otter.ai is committed to making conversations more valuable. Backed by prominent investors who have supported companies like Google, DeepMind, Zoom, and Tesla, we're continuing to grow and expand our capabilities. We're proud of our progress and excited about our future, and believe that you could be a valuable addition to our team. We offer a comprehensive compensation and benefits package, including a competitive salary, and a supportive, inclusive work environment. Join us as we shape the future of work.

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🧭 Full-Time

πŸ’Έ 210000.0 - 275000.0 USD per year

πŸ” Software Development

  • 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
  • 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.
Posted 4 months ago
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