The Opportunity

If you are a Research Engineer with expertise in speaker identification models and diarization, and a passion for applying state-of-the-art AI innovations to make conversations more valuable, look no further!

As a Research Engineer on our AI Platform team, you’ll solve challenging technical problems in processing collaborative voice conversations. Join us alongside a cohort of industry leaders  in engineering and product to devise and deploy new algorithms for speech recognition, speaker diarization, and recognition.

Your impact

• R&D work on a scalable and efficient state-of-the-art speaker identification system using machine learning, signal processing, and pattern recognition methods capable of processing large volumes of audio data in real-time alongside our multidisciplinary team
• Collaborate with cross-functional teams to integrate speaker identification technology into existing products or develop new applications.
• Evaluate the performance of speaker identification models under various conditions and scenarios.
• Support product development, deployment, and maintenance activities.
• Document research findings in technical reports, papers, and patents
• Stay abreast of SID and diarization research and participate in conferences, workshops, and seminars
• Collaborate with cross-functional teams to integrate speaker identification technology into existing products or develop new applications.
• Evaluate the performance of speaker identification models under various conditions and scenarios.
• Support product development, deployment, and maintenance activities.
• Document research findings in technical reports, papers, and patents
• Stay abreast of SID and diarization research and participate in conferences, workshops, and seminars

We’re looking for someone who

• 5+ years of industry experience on DNN based speaker id and diarization system
• Masters or Ph.D. degree in computer science, machine learning, speech/language processing
• Strong programming skills with working knowledge of C++ and Python
• Experience with TensorFlow, PyTorch, or similar frameworks in a Linux environment
• Experience with end-to-end neural network based diarization and state of the art deep learning
• Experience building data crawlers and data clean up pipelines
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a fast-paced research environment with good communication skills

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: $200,000 to $220,000 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 based on several factors. Our base salary is just one component of our comprehensive total rewards package.