AI Safety Engineer (Back-End)

This role is remote, so it can be executed globally. However, to facilitate working with the engineering team we strongly prefer candidates on the East Coast or in Europe (New York/London/Warsaw/Berlin).

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We have closed our Series-B funding at 1.1B valuation earlier this year and are backed by the leading names in tech and AI (Nat Fridman, Daniel Gross, Andreessen Horowitz, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, Deepmind & Inflection co-founder Mustafa Suleyman, and many others). 

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone.

About the role

We are looking for an experienced backend engineer with a background or demonstrated interest in trust & safety to drive safety engineering at Eleven Labs. 

As a core member of our dedicated Safety Engineering function, you'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. 

You will lead the design and implementation of systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You will spearhead industry-wide innovation on the adoption of the latest AI and ML capabilities in content moderation, and will be primarily responsible for bringing automation and efficiency to our moderation infrastructure.  

Specifically, you will: 

• Architect, build, and maintain our anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.

• Develop ubiquitous moderation coverage across our deployments 

• Expand our internal safety tooling and infrastructure 

• Collaborate with broader engineering teams to design and build safety mitigations across our product suite

• Collaborate with our data team to develop and maintain actionable safety metrics

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

• Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

• Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

• Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

• Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

• Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

• Strong experience in Python, including asynchronous Python; proven track record of building production Python applications.

• Strong background in backend development including setting up and maintaining production backend services and data pipelines.

• Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.

• Knowledge about test design and security fundamentals.

Strong candidates will also have a mix of experience working with: 

• Backend safety infrastructure & tooling

• Trust and safety, integrity or AI safety teams 

• SQL and data analysis tools; 

• React 

• Technical investigators and machine learning engineers to integrate ML/AI models to detect, monitor and enforce on abusive content

What we offer

• High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

• Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

• Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

#LI-remote