Deep Learning Engineer (Audio)

TL;DR

Deep Learning Engineer (Audio): Developing and optimizing neural network architectures for real-time speech enhancement on embedded devices with an accent on audio processing and model efficiency. Focus on training state-of-the-art models, conducting hyper-parameter optimizations, and advancing deep learning research for hearing aid technology.

Location: Must be based in Berlin, Germany (Hybrid work model: at least 60% on-site).

Company

hirify.global, part of the Sonova Group, develops cutting-edge deep learning speech enhancement technology for hearing aids, combining startup agility with global resources.

What you will do

• Train state-of-the-art deep learning models optimized for embedded platforms.
• Experiment with novel neural network architectures, loss functions, and evaluation metrics.
• Develop and conduct automated hyper-parameter optimizations on dedicated GPU clusters.
• Stay current with the latest innovations in deep learning research.
• Contribute to team learning through journal clubs and brainstorming sessions.

Requirements

• Bachelor’s or master’s degree in a technical field.
• At least 2 years of relevant professional experience.
• Strong proficiency in Python with clean, maintainable code.
• Full professional proficiency in English.
• Must be based in Berlin or willing to work on-site at least 60% of the time.

Nice to have

• Experience with digital signal processing (DSP).
• Experience with audio processing.

Culture & Benefits

• Competitive compensation package.
• 30 days of paid vacation.
• Free daily meals, drinks, and snacks at the Berlin office.
• Company-sponsored public transport ticket (Deutschlandticket).
• Opportunities for conference visits and publishing research.
• Regular team events and yearly retreats.