Staff Research Scientist

Key Skills

Aartificial intelligence, Algorithms, C++, Deep Learning, JAX framework, Large data sets, Large Language Models - LLMs, Linux Operating system, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, PyTorch

Job Description

The Opportunity

Do you want to develop cutting edge AI technology to help people get unparalleled value from meetings and conversations? Do you want to contribute fundamental research to product development and drive the industry forward? Come join our core AI team responsible for ASR/NLP and work alongside industry-veteran scientists and engineers. With your subject matter expertise in NLP you’ll have a high impact on our product and mission to make conversations more valuable.

Your Impact

• 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.

We're looking for someone who

• 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

About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.