POSTED Jan 22

ML Researcher

at ElevenLabsGlobal

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About ElevenLabs

ElevenLabs creates the most realistic, versatile and contextually-aware AI voices. We're the leaders in voice technology with our cutting-edge research and products that enable our customers to generate content at scale. We have deployed a platform for creators & publishers to turn their long text into audio with compelling and natural voices. Currently, we are expanding the capabilities of the platform to incorporate comprehensive generative voice control. This entails developing tools to convert videos and podcasts into speech, supporting multiple languages, while maintaining the unique characteristics of the speaker's voice, providing emotional control, and even creating entirely new character voices. ElevenLabs was founded by two experienced engineers who previously worked at Google and Palantir, bringing their expertise from the world of big tech into new frontier. We have secured venture capital funding and have recently concluded our successful Series-A round. Join us in shaping the future of voice technology.

About the role

We are looking for an ML Researcher to join the research team at ElevenLabs. You will thrive in the role if you enjoy doing the following:

  • Creating and upholding a reliable and expandable data management system specialized for text-to-speech projects. This includes establishing guidelines for versioning and ensuring data quality.

  • Establishing a streamlined process for autonomously training, assessing, and launching text-to-speech models. This encompasses implementing procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.

  • Investigating cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

Who you are

We are a young company of highly motivated individuals who work together while being spread across the globe. Each one of us is driven by the pursuit of excellence, supporting one another while taking ownership of our outcomes, and exploring uncharted territories. To thrive in this environment, you embody these attitudes: You are passionate about text-to-speech AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. You are a highly motivated and driven individual with a strong work ethic. Our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of work, consistently taking ownership of your outcomes and overdelivering on goals. Have a humble attitude and are eager to learn whatever it might take to help your team and our customers succeed.

What you bring

We do not require any formal certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. We do require:

  • 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

  • Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

  • Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

What we offer
  • Competitive salary.

  • Stock options; we want you to have ownership in the company and share the successes that lie ahead. That’s why we offer early employees stock options as part of their compensation package

  • Remote-first; we look at who you are rather than where you live. That’s why we are growing across the globe and support your preferred location.

  • Flexible working hours; we are a remote-first company and believe in a flexibility.

  • Bi-annual company off-sites; the last two were in Portugal and Spain.

  • Opportunity to work with a super smart and ambitious group of people.

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