Machine Learning Lead Engineer, Computational Music

Machine Learning Lead Engineer, Computational MusicPortland,Oregon,United StatesMachine Learning and AI Proven ability to lead technical projects to completion; building technical requirements, data acquisition, software design, iterative implementation, evaluation, and successful deliveries.

Proven ability to work collaboratively within in a cross-functional environment Excellent programming skills in Python Solid fundamentals in mathematics for machine learning Extensive understanding of deep learning algorithms, network architectures, and supervised and unsupervised modeling techniques Hands-on experience working with deep learning toolkits such as PyTorch, Tensorflow, etc Interest in the intersection of music and technologyDescriptionWorking with team leaders you will contribute to defining the technical vision and strategy of ML-centric projects and you will play a key role in guiding all technical aspects of the roadmap execution.

You will lead research engineers to develop music understanding and analysis algorithms through hands-on design and implementation work, quality assessment and setting examples of high quality engineering standards.

We would love to see examples of prior work you are proud of; feel free to point us to your GitHub repository or equivalent if you have one.Education & ExperienceBachelor’s degree or equivalent working experience.Additional RequirementsApple FooterApple is an equal opportunity employer that is committed to inclusion and diversity.

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