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Description:
- At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products.
- We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories).
- We have closed our Series-B funding at 1.1B valuation earlier this year and are backed by the leading names in tech and AI (Nat Fridman, Daniel Gross, Andreessen Horowitz, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, Deepmind & Inflection co-founder Mustafa Suleyman, and many others).
- We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI.
- This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you!
- A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions.
- Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day.
- We work with high autonomy and accountability where the best idea wins at any time and from anyone.
Responsibilities:
- Create and uphold a reliable and expandable data management system specialized for text-to-speech projects.
- Establish guidelines for versioning and ensure data quality.
- Establish a streamlined process for autonomously training, assessing, and launching text-to-speech models.
- Implement procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.
- Investigate cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.
Requirements:
- 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.
- Demonstrate 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.
Benefits:
- High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw.
- Annual company offsite for the whole team to get together (the last one in Croatia!).
- Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.
- Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.
