Are you an experienced MLOps Engineer passionate about building robust, scalable, and efficient machine learning infrastructure? Do you thrive in a fast-paced AI research environment, empowering the team by building and maintaining infrastructure for both cutting-edge model training and production deployment? If so, this role is for you!
As an MLOps Engineer on our AI Research team, you will build and manage the infrastructure for both training and deploying AI models, ensuring scalability, reliability, and performance. You will work closely with researchers, ML engineers, and software developers to ensure seamless integration and optimization of machine learning workflows. Your contributions will empower our AI models to perform efficiently in real-world applications at scale.
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: $155,000 to $185,000 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.