Deep Learning Engineer (m/f/d)

About the role

We are looking for a Deep Learning Engineer to join Audatic’s AI team in Berlin. You will design and implement cutting‑edge deep learning algorithms for audio processing on embedded devices.

Key responsibilities

• Train state‑of‑the‑art deep learning models optimized for quality and efficiency on embedded platforms.
• Explore novel neural network architectures, loss functions, datasets and evaluation metrics.
• Stay current with the latest deep learning research.
• Develop automated hyper‑parameter optimisation pipelines on our GPU cluster and custom software stack.
• Participate in team learning activities such as journal clubs, brainstorming sessions and online courses.

Required profile

• Bachelor’s or master’s degree in a technical field.
• At least 2 years of relevant experience.
• Strong proficiency in Python and ability to write clean, maintainable code.
• Professional fluency in English.
• Experience with digital signal or audio processing is a plus.

Required skills

• Python
• Deep learning frameworks (e.g., PyTorch, TensorFlow)
• Digital signal processing / audio processing
• GPU computing
• Hyper‑parameter optimisation

What we offer

• Competitive compensation and 30 days of paid vacation.
• Free daily meals, drinks and snacks at a modern Berlin office.
• Company‑sponsored public‑transport ticket (Deutschlandticket) and hybrid work model (≥ 60 % onsite).
• Conference attendance, publishing opportunities, regular team events and an annual retreat.