Applied Audio Researcher - Speech & Multimodal AI

Crane Venture Partners; Wien; Hybrid; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Phantom Stock Options

Company benefits

Office in Vienna (hybrid)

Zusammenfassung

nyra health is seeking an Applied Researcher in Audio to turn promising research into models that work outside the lab. You will contribute across model architecture, data, training, evaluation, and inference, with applications across speech understanding, generation, alignment, and multimodal systems.

You will move ideas from papers to experiments and production, collaborating with engineers, therapists, and product teams.

Qualifikationen

• Audio research experience: A strong background in speech, audio understanding, audio generation, speech-to-speech systems, or representation learning.
• Applied research mindset: You balance scientific novelty with usefulness and measurable impact.
• Deep learning proficiency: Hands-on experience with PyTorch, modern model architectures, and large-scale training.
• Research breadth: You are comfortable working across architecture, data, evaluation, and infrastructure.
• Experimental rigor: You design informative experiments, choose meaningful metrics, and interpret results carefully.
• Engineering ability: You write clean Python and can move beyond notebooks into maintainable systems.
• Relevant background: MSc, PhD, or equivalent practical experience in machine learning, speech processing, audio, or a related field.
• AI-native workflow: You use modern research and coding tools to accelerate exploration, implementation, and analysis.

Aufgaben

• Audio models: Research and develop models for speech understanding, generation, alignment, representation learning, and related areas.
• Model architecture: Explore architectures that can reason across audio, text, timing, and other relevant signals.
• Data strategy: Curate training mixtures, improve annotation methods, and develop synthetic or model-assisted data pipelines.
• Evaluation: Establish benchmarks that measure the details conventional audio metrics miss.
• Research prototyping: Move quickly from papers and hypotheses to working experiments and clear conclusions.
• Scaling and optimization: Train and optimize models efficiently across modern GPU infrastructure.
• Research to release: Work with engineering to turn successful prototypes into reliable open models and nyra health capabilities.
• Publication: Contribute to papers, technical reports, datasets, and open-source releases.

Kenntnisse

Audio research

Applied research

Deep learning (PyTorch)

Research breadth

Experimental rigor

Engineering ability

MSc/PhD or equivalent

AI-native workflow

Ausbildung

MSc, PhD, or equivalent

Tools

Python

Jobbeschreibung

nyra health is seeking an Applied Researcher in Audio to turn promising research into models that work outside the lab. You will contribute across model architecture, data, training, evaluation, and inference, with applications across speech understanding, generation, alignment, and multimodal systems.

You will move ideas from papers to experiments and production, collaborating with engineers, therapists, and product teams.