This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.
About ElevenLabs
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!
Who we are
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.
About the role
As an AI Researcher, you will work on developing and advancing state-of-the-art audio AI models serving across the full audio sweet including text-to-speech, voice design, dubbing, sound effects, and music.
You will collaborate with a team of the top AI researchers in the world to push the boundaries of audio AI, improving both model performance and efficiency.
You will have the opportunity to prototype and experiment with new approaches, working closely with our product and engineering teams to bring innovations to production.
You will be working on implementing the model for real use-cases.
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
Strong technical background in machine learning, AI, or a related field, with a focus on deep learning and generative models & proven record of implementing these to real use-cases.
Expertise in audio AI or related domains, with a track record of working on text-to-speech, ASR, or similar models in real-world applications.
Proficiency in research methodologies and familiarity with the latest advancements in AI, with the ability to translate cutting-edge research into practical applications.
Strong coding skills in Python and experience with relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
What we offer
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.