Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 23 hours ago

Director of AI Research

Otter.ai19 open roles

Where
Mountain View, CA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowDirector of AI ResearchOtter.ai · Mountain View, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Otter.ai's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Otter.ai postings stay open a median of 30 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 23 hours ago

Otter.ai median: 30 days open

The posting

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Otter.ai's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Otter.ai's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Otter.ai's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.