Audio Deep Learning AI Engineer

Role Description

This is a full-time hybrid role for a Deep Learning AI Engineer. The job involves developing and implementing deep learning architectures and optimizing deep learning networks for real-time performance. Work will primarily be based in Vienna, Austria. Preferably, candidates hold a valid EU working permit. 

Qualifications

• Bachelor’s/Master’s/Ph.D. degree in Computer Science/AI/Applied Mathematics/Physics or related fields, specialized in audio, acoustics, and speech signal processing.
• 3+ years of experience in the field.
• Mastery in Deep Learning Neural Networks, Pattern Recognition, optimization techniques, GAN models, Large Language Models, and related technologies.
• Mastery of statistical models and algorithms, linear algebra, calculus, complex analysis, and information theory. Ability to develop new algorithms and mathematical models.
• Research and work experience in one or more of the following areas: Audio Digital Signal Processing, Speech and Voice Recognition, Voice Biometrics, Sound Event Detection, Acoustic Modeling, Speech and Voice Synthesis, and related applications.
• Strong coding expertise in programming languages such as C, C++, and Python, their relevant libraries, and RTC.
• Experience with Deep Learning/ Machine Learning Frameworks (Tensorflow, PyTorch, etc.)
• • Ability to design and implement solutions through programming languages (Python, C++, etc.)
• Experience in developing, implementing, and deploying algorithms for real-time computation ( RTC).
• Expertise in implementing and deploying solutions in real-world applications.
• Strong critical thinking and problem-solving skills with excellent attention to detail.
• Experience with publications and benchmarking.
• Excellent communication skills with the ability to collaborate with cross-functional teams and present complex technical ideas to technical and non-technical audiences.

Application can be done also through the Website: https://shama.ai/career/