As a Research Engineer joining the ElevenLabs research team, you'll build reliable and scalable data management systems and shape the process for autonomously training and evaluating text-to-speech models.
Responsibilities
- ▹Create and uphold a reliable and expandable data management system specialized for text-to-speech projects, establishing versioning guidelines and data quality standards
- ▹Establish a streamlined process for autonomously training, assessing and launching text-to-speech models, including dynamic learning and fine-tuning/validation data refresh routines
- ▹Investigate cutting-edge approaches in machine learning, deep learning and algorithms for text-to-speech technology
Requirements
- ▹No formal certifications or degrees required - looking for enthusiastic engineers who can showcase solving hard problems via past projects, designs or GitHub contributions
- ▹3+ years of industry experience as a Machine Learning Engineer, with emphasis on building data pipelines and developing/deploying ML models
- ▹Ability to autonomously evaluate new concepts or enhance current ML projects, potentially contributing to published work
- ▹Extensive background in exploratory research to improve data quality, particularly in the audio and text-to-speech domains
Soft skills
Independent research mindsetPrecisionCuriosity
What we offer
- ▹Fast-paced, innovative company culture
- ▹Real growth opportunities beyond the immediate role
- ▹Annual learning & development stipend
- ▹Annual social travel stipend to meet colleagues
- ▹Company-wide annual offsite (past locations included Croatia and Italy)
- ▹Monthly co-working stipend if not near an office
About the company
ElevenLabs is an AI research and product company that launched in January 2023 with the first truly human-like AI voice model. Today it serves millions of users and thousands of businesses worldwide, from fast-growing startups to large enterprises such as Deutsche Telekom and Meta. The company is backed by prominent investors including Andreessen Horowitz, ICONIQ Growth and Sequoia, has raised $781M in funding, and was last valued at $11B.
Education: Nincs elvárt formális végzettség
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