Machine Learning Research Co-Op

Job Description

We are looking for an ambitious machine learning research co-op to join our research lab this summer and fall. Depending on your skillsets and research areas, you may help build deep learning models to enable novel experiences on our wearable products, help optimize deep learning models on cutting-edge hardware, or do both! The duration of this position is 6 months starting July 2024 (full-time 40 hours/week).

Responsibilities

• Develop, train, and evaluate deep learning algorithms with a focus on audio and other time-series data (e.g., accelerometers).
• Optimize deep learning models for deployment on low-power edge devices.
• Research, implement and evaluate a variety of published approaches and algorithms for problems in audio ML and tinyML.

Minimum Qualification

• Recent graduate or currently is in the process of obtaining a M.S. or PhD in computer science, electrical engineering, machine learning, music technology, human-computer interaction, or related field.
• Strong programming background with 3+ years of experience in Python.
• Familiar with latest research in deep learning and ability to implement published algorithms.
• Strong experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc.
• Experience with cross-group and cross-culture collaboration.
• High levels of creativity and quick problem-solving capabilities.

Preferred Qualification

• Familiar with latest research in deep learning on the edge (e.g., quantization, neural architecture search, efficient model architectures.)
• Solid understanding and experience working with audio and digital signal processing.
• Strong publication record in relevant venues (e.g., ICML, ISCA, ICASSP, UIST, IMWUT) demonstrating innovative research.