Machine Learning Researcher : ElevenLabs

Job Description

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 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.

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.

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.