Artificial Intelligence, SaaS, Productivity Software

Director of AI Research

Mountain View, CAHybridFull TimeDirector$244,000–$313,000 /yrPosted 12 days agoVisa sponsorship available

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Required skills

AI
ASR
Speaker Identification
LLMs
Audio Language Models
Transformer Architectures
Reinforcement Learning
Multimodal Model Training
ML Systems
Distributed Training

Nice to have

Django
FastAPI
WebSockets
Application Frameworks

Role summary

Otter.ai is seeking a Director of AI Research to lead research and development in areas such as automatic speech recognition (ASR), speaker identification (SID), large language models (LLMs), and audio language models. This hands-on leadership role requires a deep understanding of AI research and experience building and deploying AI systems at scale. The Director will set technical priorities, guide model and infrastructure decisions, and work directly with the team on research and engineering challenges. Key responsibilities include defining the research roadmap, owning the model lifecycle, leading and developing the AI research team, scaling training and inference, and translating research into product capabilities. The ideal candidate has a Master's or PhD in Computer Science, 10+ years of experience in software engineering or AI R&D (including 4+ years managing technical teams), and expertise in speech technologies, LLMs, transformer architectures, and large-scale ML systems. Proficiency in Python, PyTorch, and Kubernetes is required, with familiarity in Django, FastAPI, and WebSockets preferred. The role involves shaping the AI platform and identifying new opportunities to advance Otter.ai's mission.

About the Role

We’re building AI that changes how people capture, understand, and act on conversations and meetings. As Director of AI Research, you will lead research and development across automatic speech recognition (ASR), speaker identification (SID), large language models (LLMs), and audio language models. Your work will shape our AI capabilities, product direction, and long-term research strategy.

This is a hands-on leadership role for someone who combines research depth with experience building and deploying AI systems at scale. You will set technical priorities, guide model and infrastructure decisions, and work directly with the team on challenging research and engineering problems.

Partnering closely with Product, Engineering, and Data teams, you will turn research advances into reliable product capabilities. You will also build the team, experimentation practices, and technical foundation needed to move quickly while maintaining high standards for quality and performance.

Your Impact

Set the research direction: Define and execute a research roadmap across speech recognition, speaker identification, LLMs, and audio language models, connecting technical advances to user needs and business priorities.

Own the model lifecycle: Guide data preparation, model architecture, pre-training, post-training, evaluation, and deployment. Establish rigorous methods for measuring quality and improving models using large-scale training data.

Lead and develop the team: Hire, mentor, and grow a high-performing AI research team. Build a culture of scientific rigor, open collaboration, and clear accountability. Encourage strong viewpoints backed by measurable results and a collaborative mindset that helps the team reach shared decisions.

Scale training and inference: Drive improvements in model accuracy, latency, reliability, and cost through large-scale training, inference optimization, and efficient use of compute.

Translate research into products: Evaluate emerging methods, reproduce promising results, and adapt advances from the literature to practical product challenges.

Shape the AI platform: Partner with Engineering and Data teams to strengthen the infrastructure, tooling, and workflows that support rapid experimentation and reliable deployment.

Identify new opportunities: Explore AI capabilities that expand what our products can do and support the company’s long-term vision.

We're looking for someone who brings

A Master’s degree or higher in Computer Science or a related technical field; a PhD is preferred.

10+ years of software engineering or AI research and development experience, including 4+ years of experience managing technical teams.

A track record of leading AI research with meaningful scientific and product impact, supported by publications and deployed systems.

Deep expertise in speech technologies and LLMs, with hands-on experience in transformer architectures, reinforcement learning, and multimodal model training.

Experience designing, training, evaluating, and optimizing large-scale ML systems, including distributed training and inference in GPU environments.

Strong proficiency in Python and PyTorch, with experience using Kubernetes and related infrastructure to run ML workloads at scale.

Demonstrated ability to set technical direction, develop teams, and collaborate across Research, Product, Engineering, and Data.

Sound judgment in balancing research ambition, execution speed, and product quality.

Familiarity with application frameworks and technologies such as Django, FastAPI, and WebSockets.

A commitment to solving difficult technical problems and delivering measurable value to users.

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.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $244,000 to $313,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.#LI-Hybrid

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