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Research Engineer Germany Poland +3 more

ElevenLabs

New York (NY)

Remote

USD 90,000 - 150,000

Full time

12 days ago

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Job summary

Join a forward-thinking company at the forefront of Audio AI as a Research Engineer. This role offers the chance to work on innovative text-to-speech projects while being part of a global team that values impact over titles. You'll create and maintain a robust data management system, streamline training processes for models, and explore advanced machine learning techniques. With flexible time off, a focus on professional development, and opportunities for social travel, this position is perfect for those eager to make a significant impact in a rapidly scaling startup environment.

Benefits

Flexible time off
Monthly coworking stipend
Annual professional development stipend
Annual social travel stipend
Annual company offsite

Qualifications

  • 3+ years of experience in Machine Learning, focusing on data pipelines.
  • Ability to autonomously evaluate and enhance machine learning projects.

Responsibilities

  • Create a reliable data management system for text-to-speech projects.
  • Streamline processes for training and launching text-to-speech models.
  • Investigate cutting-edge machine learning approaches.

Skills

Machine Learning
Data Pipelines
Deep Learning
Text-to-Speech Technology
Autonomous Evaluation

Job description

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

About ElevenLabs

ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.

ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.

ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.

How we work
  • High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

  • AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

  • Excellence everywhere: Everything we do should match the quality of our AI models.

  • Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.

What we offer
  • Flexible time off: We trust you to balance rest with the high-energy demands of an early-stage startup.

  • Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.

  • Learning & development: Annual discretionary stipend towards professional development.

  • Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.

  • Annual company offsite: We bring the entire company together at a new location every year.

About the role

We are looking for a Research Engineer 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.

Requirements

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.

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