Machine Learning Engineer - 100% remote

If you are a passionate AI professional, who is enthusiastic about automotive electronics, join our Automotive AI Lab as a Data Scientist/Machine Learning Engineer.Collaborating with global AI/ML, automotive and consumer audio expert teams, you will work on the next generation of innovative vehicle sound products. 

Requirements:

Minimum Qualification:

• Master's degree in computer science or comparable practical experience
• 6 years of industry experience with 4 years of experience in applied data science, and big data technologies
• Demonstrated experience across audio topics like microphone and speaker beamforming, noise suppression or cancellation, immersive audio, binaural audio, and strong DSP fundamentals for algorithm development and understanding of challenges for real-time deployment
• Strong understanding of state-of-the-art audio ML (Machine Learning) processing technologies and practical experience with AI/ML tech stacks, tool chains, data collection, synthetic data, simulators, and MLOps workflows (e.g. PyTorch, Kafka, Apache Spark, DataBricks, Python, R)

Preferred Qualification:

• Experience in audio processing and products and knowledge in acoustics, psychoacoustics, acoustical benchmarking, sound quality, sound field measurement and equalization
• Experience in embedded model deployment and using AI accelerators (e.g. GPU, NPU, DSP)
• Proficient coding skills in C++, MATLAB