Senior Audio AI Engineer

at  Motorola Solutions

COMPANY OVERVIEW

At Motorola Solutions, we’re guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We’re solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That’s mission -critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We’re solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that’s critical to connect those in need with those who can help. The work we do here matters.

JOB DESCRIPTION

• The Audio AI Engineer will be responsible for designing and implementing advanced audio processing algorithms using artificial intelligence and machine learning techniques. The ideal candidate will have a strong background in signal processing, AI, and machine learning, as well as experience with audio data.
• Research, develop, and implement AI and ML models for audio signal processing tasks such as speech recognition, sound classification, noise reduction, and audio synthesis.
• Collaborate with engineers to integrate AI models into software and hardware products.
• Optimize audio AI algorithms for performance and scalability on various platforms, including cloud-based services and edge devices.
• Work with large audio datasets to train and validate machine learning models.
• Stay up-to-date with the latest advancements in AI, machine learning, and audio processing technologies.
• Troubleshoot and improve existing audio AI systems.
• Write clean, efficient, and well-documented code.
• Participate in the full software development lifecycle, from design to deployment and maintenance.
• Communicate effectively with team members and stakeholders to understand requirements and provide insights on AI capabilities.

BASIC REQUIREMENTS

• Bachelor’s Degree or Master in Computer Science, Electrical Engineering, or a related field with a focus on audio signal processing and machine learning.
• Proficiency in programming languages such as Python, C++, or Java.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with digital signal processing and audio analysis techniques.
• Knowledge of deep learning architectures relevant to audio processing (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud computing services (e.g., AWS, Google Cloud Platform) and edge computing.
• Ability to work in a fast-paced environment and manage multiple projects effectively.
• Excellent problem-solving, analytical, and communication skills.

TRAVEL REQUIREMENTS

None

Please refer the Job description for details