Research Engineer

About the Role

We are looking for a Research Engineer to join the research team at ElevenLabs. You'll work at the frontier of audio AI, shaping the models behind products used by millions of people. You will thrive in this role if you enjoy:

• Training state-of-the-art models - across any modality.
• Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms.
• Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why.

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology. We serve millions of users and thousands of businesses with our platforms:

• ElevenAgents: Seamless and intelligent customer experiences.
• ElevenCreative: Generation and editing of speech, music, image, and video across 70+ languages.
• ElevenAPI: Access to leading AI audio foundational models.

We are researchers, engineers, and operators committed to creating lasting positive impact.

Responsibilities

• Train state-of-the-art models across any modality.
• Improve existing models through post-training, data curation, architectural improvements, and novel training paradigms.
• Design rigorous benchmarks and evaluations to assess model improvements.

Requirements

• 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models.
• Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects.
• Experience conducting exploratory research to improve the quality of gathered data.

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

We Offer

• Innovative culture: Be part of a generational opportunity to define the trajectory of AI.
• Growth paths: Countless opportunities to drive impact beyond your immediate role.
• Learning & development: Annual discretionary stipend for professional development.
• Social travel: Annual discretionary stipend to meet up with colleagues.
• Annual company offsite: Team gatherings in new locations each year.
• Co-working: Monthly co-working stipend if not located near our main hubs.

How We Work

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Impact not job titles: Focus on the impact you have, not the title.
• AI first: We use AI to move faster with higher-quality results.
• Excellence everywhere: Match the quality of our AI models in everything we do.
• Global team: We prioritize your talent, not your location.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.