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're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you:
- Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
- Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
- Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
- Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
- Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
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.
