Machine Learning Scientist (L4/L5) - Audio & Speech for Games
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La posizione
You will redefine the auditory experience in interactive games by combining cutting-edge speech technology with production-focused engineering.
Evaluate and integrate open-source and commercial models (ASR, TTS, diarization, VAD), balancing quality, latency, and cost for scalable gameplay.
Lead R&D and adaptation of speech models (TTS, voice cloning, ASR) using parameter-efficient techniques like LoRA/PEFT to address production gaps.
Drive data and alignment efforts—audio and multimodal data curation, labeling, segmentation, and synthetic data generation.
Scale speech model training through distributed data pipelines and training strategies for large datasets.
Collaborate across teams to translate research into production-ready audio features for games, balancing practicality and innovation.
Evaluate and integrate open-source and commercial models (ASR, TTS, diarization, VAD), balancing quality, latency, and cost for scalable gameplay.
Lead R&D and adaptation of speech models (TTS, voice cloning, ASR) using parameter-efficient techniques like LoRA/PEFT to address production gaps.
Drive data and alignment efforts—audio and multimodal data curation, labeling, segmentation, and synthetic data generation.
Scale speech model training through distributed data pipelines and training strategies for large datasets.
Collaborate across teams to translate research into production-ready audio features for games, balancing practicality and innovation.
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