Jobs & Career

Role Description

This is a full-time hybrid role for an Artificial Intelligence / ML Researcher / Engineer. The Engineer will develop and implement pattern recognition, neural networks, and algorithm-based solutions through computer science and statistical analysis. Work will be primarily based in Vienna, but the position does offer some remote work flexibility.

Qualifications

• Bachelor’s/Master’s/Ph.D’s degree in Computer Science/Engineering/Applied Mathematics/Physics or related fields, specialized in signal processing.
• 3+ years experience in digital signal processing specializing in image/audio/video.
• Mastery in Neural Networks, Pattern Recognition, optimization techniques, Bayesian Inference, topological ML, optimization techniques, Deep Learning models, 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 these areas: Digital Signal Processing, Speech &Voice recognition, Voice Biometric,  Sound event detection, Acoustic Modeling, Speech and Voice Synthesis, Audiovisual understanding, such as e.g., audio coding, voice/speech synthesis, translation, enhancement, analysis, and related things.
• Strong coding expertise in programming languages such as C, C++, Python and its relevant libraries, Scikit, TensorFlow, Keras, Matlab, R, 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 AI/ML/DL solutions in real-world applications.
• Experience building, testing, and deploying production-level machine learning 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.

Download full description

Role Description

This is a full-time hybrid Senior Software Audio Digital Signal Processing Engineer role. The engineer will be responsible for developing and implementing algorithms, especially for audio-digital signal processing. 

Qualifications

• Bachelor/Master/Ph.D. degree in Electrical Engineering, Computer
  Science, Applied Mathematics/ Physics, or a related field.
• Strong knowledge of mathematics and statistics, linear algebra, calculus,
  and complex analysis.
• Strong coding skills in programming languages such as C, C++, Python,
  TensorFlow, Keras, Matlab, R, and RTC.
• Experience with MATLAB, Simulink, and other simulation tools.
• Strong analytical and problem-solving skills.
• Strong attention to detail.
• Experience in working with cross-functional teams and building teams.
• Ability to work independently and efficiently manage time and deadlines.
• Experience with publications, benchmarking, and patent filing is a plus.

Expertise 

• 5+ years of experience in AUDIO Digital Signal Processing AND ANALYSIS.  
• Expertise with audio RECORDING/ANALYSIS and other signal generation techniques, e.g., audio coding, voice/speech synthesis, translation, enhancement, biometrics, and related things.
• Experience in AI/ML/DL is a plus. 

Download full description

Role Description

This is a full-time hybrid role for a Voice and Speech Signal pre-processing AI/ML/DL researcher and engineer. The candidate will develop voice and speech signal processing algorithms, ML/DL techniques, neural networks, and algorithm-based solutions for target applications. Work will be primarily based in Vienna, but the position does offer some remote work flexibility.

Qualifications

• Bachelor’s/Master’s/Ph.D’s degree in Computer Science/Engineering/Applied Mathematics/Physics or related fields, specialized in voice and speech signal processing. 
• 5+ years experience in voice and speech signal processing with a deep understanding of the signal and feature characteristics.
• 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 these areas; signal pre-processing, feature extraction, pattern recognition, speech processing, voice and speech applications, including TTS, voice conversion, voice and speech synthesis, speaker recognition, voice biometric, generative modeling, speech-to-speech translation, transformers, large language models and related things.

• Strong coding expertise in programming languages such as C, C++, Python and its relevant libraries, Scikit, TensorFlow, Keras, Matlab, R, and RTC.
• Experience with Signal Processing/Deep Learning/ Machine Learning Frameworks (Tensorflow, PyTorch, etc.)
• Ability to design and implement solutions through programming languages (Python, C++, etc.)
• Expertise in implementing and deploying AI/ML/DL solutions in real-world applications.
• Building API and MVP.
• Experience in real-time application.
• Experience building, testing, and deploying production-level machine learning 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.