Research Scientist, Otter.ai

• 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

• 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

• Stock and equity package
• Parental leave benefits
• Retirement savings program 401(k)
• Boundless snacks and free catered lunches
• Team lunches and social events
• Work from home opportunities
• Comprehensive package that includes health care (medical, dental, vision, life, disability) and mental health support
• $500 home office stipend

Total funding: $73m

Otter specifically thought of business professionals who are running from one meeting to the next, while juggling multiple projects with various teams. The company's technology integrates with platforms like Zoom, providing a way to record meetings and convert speech to text in real-time. It then streamlines communications for smarter, more collaborative, and more productive meetings—the first use of conversational AI to turn meetings into an actionable workflow.