Research Scientist for Speech Synthesis

oddin · Valka.ai

Posted about 1 month ago

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Skills

Speech SynthesisText-to-Speech (TTS)Voice CloningNatural Language Processing (NLP)Deep LearningMachine LearningDistributed SystemsModel DeploymentExperiment TrackingData Validation

Job description

About Valka
Valka, a visionary spin-off from the Realms Group (the parent company of Oddin.gg), is on a mission to revolutionize the way people create and experience digital content. Our team believes that content shouldn’t just be consumed; it should be co-created in real time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive human-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more.
This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the paradigm from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and beyond.

Position Intro:
We’re looking for an experienced Aplied Research Scientist for Speech Synthesis for a foundational role to join our new team.
You’ll develop text-to-speech and voice cloning models to create synthetic voices for our avatars that sound like public figures.
We expect you to work with state-of-the-art models and push the limits of what voice cloning and TTS can do. This role requires a solid understanding of speech synthesis, NLP, and deep learning. Experience working with large text and speech datasets is highly desirable.
You’ll build efficient training and deployment pipelines for voice models. Part of your job will be designing validation strategies that compare synthetic speech to real recordings, and creating custom metrics to measure quality.
You’ll also help set up the infrastructure for tracking experiments, making results reproducible, and serving models in production. From training on distributed systems to monitoring deployed models, you’ll be involved in the full machine learning workflow.

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