Applied Research Science Intern

• Work with a team of data scientists and engineers to prototype and realize novel use cases enabled by machine learning and artificial intelligence
• Solve problems through research and collection/creation of data
• Design architectures, train, and evaluate deep neural network models and other advanced algorithms
• Adapt models for implementation in a range of platform environments

• In-process of a PhD or advanced Masters in machine learning or in application of deep learning in related scientific or engineering fields
• Deep experience in application of machine learning to images/video, audio, natural language text, and/or other digital signal processing, transformation, or generation
• Demonstrated experience with leading machine learning tools and libraries
• A self-starter who capable of digging deeply into ideas and concepts and generating rapid prototypes
• Experience or understanding of common ML-Ops patterns is a plus
• Experience with full stack development is a plus
• Good verbal and written communication skills
• Applicants must be currently authorized to work in the United States on a full-time basis
• Shure will not sponsor applicants for work visas

Demonstrates expertise in machine learning and deep learning applications, particularly in processing images, audio, and natural language. Proficient in designing and evaluating deep neural network models and adapting them for various platforms.

• PhD Or Advanced Masters In Machine Learning
• Deep Learning Application Experience
• Machine Learning Tools And Libraries
• ML-Ops Patterns Understanding
• Full Stack Development Experience

• Machine Learning
• Deep Learning
• Data Collection
• Data Prototyping
• Neural Network Design
• Algorithm Evaluation
• Digital Signal Processing
• Model Adaptation

• Good Verbal Communication
• Good Written Communication
• Self-Starter

• Artificial Intelligence
• Image Processing
• Audio Processing
• Natural Language Processing
• Digital Signal Transformation