ElevenLabs Logo

ElevenLabs

Research Engineer - Data Infrastructure

Reposted 10 Hours Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.
The summary above was generated by AI
About ElevenLabs

ElevenLabs 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 $22B - multiples of 11, always.
We have expanded from voice into three main platforms:

  • ElevenAgents 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.

  • ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

  • ElevenAPI 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 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, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:

 
  • Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.

  • Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models.

  • Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance.

  • Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.

 
Requirements

We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:

 
  • Experience building data-intensive systems, ideally in support of machine learning training pipelines.

  • Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets).

  • The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it.

 

Bonus: Experience building or operating web crawlers.

 
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.

 

#LI-Remote

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.

Similar Jobs

Yesterday
Remote
United States
174K-261K Annually
Senior level
174K-261K Annually
Senior level
Artificial Intelligence • Productivity • Software • Automation
Own the reliability, scalability, and evolution of Zapier’s database and caching infrastructure. Responsibilities include operating MySQL, PostgreSQL, Redis, and ElastiCache; managing infrastructure with Terraform; building observability, automation, SLOs, and golden paths; participating in on-call; supporting product teams; improving performance and resilience; leading design reviews; documenting practices; and mentoring engineers.
Top Skills: AWSAws ElasticacheCloudwatchDatadogKubernetesMySQLPostgresPrometheusRedisRedis EnterpriseTerraform
Yesterday
Remote or Hybrid
Entry level
Entry level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Build and maintain end-to-end features for a financial asset servicing platform using Java and React. Develop APIs, responsive interfaces, automated unit, integration, and Cucumber tests, and contribute Ruby test steps. Apply test-first development, performance testing with JMeter, monitoring, logging, debugging, and scalability practices. Collaborate in Agile squads with product managers and analysts while supporting reliable, maintainable solutions for financial markets and corporate actions workflows.
Top Skills: ChatgptCi/CdCucumberGithub CopilotJavaJmeterJunitOraclePostgresReactReactRuby
Yesterday
Easy Apply
Remote
Easy Apply
248K-372K Annually
Entry level
248K-372K Annually
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain secure, performant backend services for GitLab’s Change Record team using Ruby on Rails and GraphQL. Develop APIs, data models, business logic, tests, and user-facing workflows while improving reliability through performance tuning, caching, observability, rate limiting, and resiliency. Collaborate across teams, support production systems through Tier 2 on-call, troubleshoot incidents, and use AI coding agents responsibly.
Top Skills: Ai Coding AgentsBackground ProcessingCachingGitGraphQLRelational DatabasesRubyRuby On RailsSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account