Великобритания
ElevenLabsData Scientist - AI Safety
1 мес. назад
ВеликобританияMiddleHybrid
pythonsql
Data Scientist position at ElevenLabs focusing on AI Safety, involving ownership of datasets and evaluation workflows to support safe AI model deployment. Company is a leading AI research and product firm with major clients and significant funding.
About the company
- 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 $11B - multiples of 11, always.
- We have expanded from voice into three main platforms: ElevenAgents, ElevenCreative, ElevenAPI.
- Our team consists of researchers, engineers, and operators including IOI medalists and ex-founders.
- Culture is high-velocity, impact-focused, AI-first, excellence everywhere, and global team oriented.
About the product
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with integrations, testing, monitoring, and reliability 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 provides developers access to our leading AI audio foundational models.
Responsibilities
- Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation.
- Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists.
- Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar.
- Build evaluation workflows for models in production, using real-world data to track performance and surface issues.
- Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like.
Requirements
- Experience as a Data Scientist, or similar, working with real-world datasets and ML models.
- Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation.
- Comfortable with Python and SQL for analysis and practical data workflows.
- Strong critical thinking and judgement, comfortable with ambiguity and nuance, able to turn complex guidelines into consistent, scalable decisions.
- Autonomous and a clear communicator, able to work across disciplines in a fast-moving, still-forming environment.
Nice to have
- Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection.
- Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML.
- Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling.
- Experience operationalising guidelines with policy or legal teams.
Conditions
- Role based in London, working closely with AI Safety and Policy teams.
- Innovative culture focusing on generational AI opportunities.
- Growth paths with countless opportunities to drive impact beyond immediate role.
- Annual discretionary stipends for professional development, social travel, and co-working.
- Annual company offsite in various global locations.