Why This Job is Featured on The SaaS Jobs
Research Engineer roles are often framed as pure R&D, but in SaaS they sit at the point where models become product capabilities that customers can rely on. This listing is notable because it is anchored in an AI platform company with clear, production-facing surfaces such as creative and agent use cases, where reliability, evaluation, and iteration cycles matter as much as novelty.
For a SaaS career, the durable value here is learning how to operationalise machine learning in a subscription context: data versioning, repeatable training and validation workflows, and disciplined release processes. These are the mechanics that translate research progress into measurable product performance and maintainability, and they transfer well across modern SaaS organisations building AI features, from developer platforms to vertical applications.
The role fits professionals who enjoy owning systems end to end and who prefer evidence of impact through artifacts, experiments, and shipped improvements rather than credentials. It will suit engineers comfortable balancing exploration with process, and who want a remote-friendly environment where collaboration happens across locations while keeping a strong personal scope of responsibility.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About ElevenLabs
ElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.
We 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 the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.
Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.
Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.
We are just getting started. If you want to work hard and create lasting impact, we would like 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.
What we offer
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
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.
Location
This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
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