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Apply by sending your CV or LinkedIn to [email protected]

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About Palabra

Palabra.ai is revolutionizing global communication with AI-powered real-time speech translation technology. Our mission is to give everyone the power to communicate without linguistic and cultural barriers. We are results-oriented and passionate about what we do.

We’ve just raised $8.4 mln in a round led by the tier-1 US fund Seven Seven Six (776). You can try our product on our website or use it via API.

About the role

Text-to-speech (TTS) is a crucial component in the speech-to-speech translation pipeline. We’ve developed our TTS model and trained it from scratch on a large corpus of data. It’s already on par with the best TTS models available on the market, but we want to improve its quality even further.

We seek an experienced ML/LLM engineer with solid hands-on experience in speech technologies and who is passionate about TTS.

In this role, you will:

• Develop algorithms for text-to-speech.
• Develop algorithms to improve zero-shot voice cloning between languages.
• Create pipelines to test the performance of trained models.
• Improve data processing pipelines.
• Analyze the current solution to achieve better performance for voice cloning and reduce streaming latency.
• Work closely with other members of the AI research team and the development team.

Who you are

At Palabra.ai, we are an enthusiastic and globally spread team, each member fueled by a passion for AI-driven speech technologies. As part of our team, you'll be immersed in an environment that values initiative, mutual support, and personal accountability. You'll take full ownership of challenges from start to finish, readily acquiring any necessary knowledge to ensure good results, pursue excellence in every aspect of your work, and consistently exceed expectations. A willingness to learn and a humble approach are essential, as they are the keys to effectively supporting our team and clients.

Base qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience as a ML or LLM engineer.
• 3+ years of experience in speech technology.