<aside> 💡 We want to make talking to AIs as human as possible.

Today, the highest adoption for voice-first AI interaction is happening in telephony voice agents. But, our personal interactions with banks / medical providers (e.g. GPs) / government (e.g. HMRC) has not changed at all; it’s still the same long queue times, or IVR systems. This is because the current AI telephony voice agent stack is broken - success rates are low, it’s a slow process to get them to work reliably. And this is just in carefully crafted low-risk scenarios where call times are shorter than 2 minutes.

The problems preventing adoption can’t be solved by any amount of data, and we’re re-architecting the underlying machine learning models (speech-to-text, text-to-speech, and LLMs) from the ground up to solve this.

The company was founded by Sid, founding engineer at Wayve.ai (which recently raised $1bn dollars), and Vatsal (who was critical in building Alexa’s first deep learning voice, and studied+taught Maths & CS at Cambridge). Our team is passionate and driven by building products that are deeply loved by the people who use them.

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What we offer

• Change the world (when we succeed): calls will never be the same again.
• Environment to do the best work of your life.
• Small team, great people.
• Opportunity to make cutting-edge research work from scratch for production scenarios.
• Work with 10s-100s of TBs of data, and >1-10B parameter models.
• We’ll provide immigration support, we are immigrants ourselves.
• Significant equity as a founding team member.

Open Roles

<aside> 🚀 We’re building an in-person team in London, and are looking for individuals who are driven, resilient & want to build products that people love!

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Machine Learning Engineer

Senior/Staff Machine Learning Engineer

If you don’t see a role that suits you, you’re welcome to drop us an email at vatsal [at] metavoice [dot] io with something impressive you’ve recently built and why you’d like to join us.

Frequently Asked Questions

Are there any Leet code questions? How much should I prepare?

There are no trick questions/puzzles. Our interview process is designed to closely reflect what you’ll be doing day-to-day in the role.

What are your cultural values?

Here’s a terse version:

• Make users happy
• Bias for action