At a Glance
- Tasks: Create and manage data systems for innovative text-to-speech projects.
- Company: Join ElevenLabs, a leading AI research company transforming technology interaction.
- Benefits: Enjoy remote work, professional development stipends, and annual team offsites in exciting locations.
- Other info: Work globally with a focus on impact, not job titles, in a high-velocity environment.
- Why this job: Be part of a generational opportunity to shape the future of AI with a dynamic team.
- Qualifications: 3+ years in machine learning, showcasing problem-solving skills through past projects.
The predicted salary is between 60000 - 80000 £ per year.
About Eleven Labs
Eleven Labs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model.
Today, we serve millions of users and thousands of businesses – from fast-growing startups to large enterprises like Deutsche Telekom and Meta.
Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia.
We've raised $781M in funding and our last valuation was $11B – multiples of 11, always.
We have expanded from voice into three main platforms
- Eleven Agents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- Eleven Creative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- Eleven API gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team – builders doing the best work of their lives.
We are researchers, engineers, and operators.
IOI medalists and ex-founders.
If you want to work hard and create lasting positive impact, we want 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 Eleven Labs means joining a dynamic team with countless opportunities to drive impact – beyond your immediate role and responsibilities.
- Learning & development: Eleven Labs 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 Eleven Labs. 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 Git Hub 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 London, New York, San Francisco, and Warsaw.
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StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Elevenlabs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Engineer at Elevenlabs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Elevenlabs.
✨Apply Directly through Our Website
When you find a suitable opening like Research Engineer at Elevenlabs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Elevenlabs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elevenlabs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elevenlabs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Elevenlabs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
