Description

You will build and implement end-to-end prototypical learning systems using deep learning frameworks.

Responsibilities

• Implement and evaluate working end-to-end prototypical learning systems.
• Develop code to support the execution of research initiatives.
• Work closely with researchers to gather requirements and develop novel solutions.
• Manage large, complex datasets including capture and annotation processes.
• Utilize high performance or distributed compute solutions for model training.

Required Skills

• 4+ years of industry experience with Python and deep learning frameworks.
• Proficiency with PyTorch, TensorFlow, or similar AI/ML engines.
• 2+ years of experience working with large, complex datasets for machine learning.
• Experience with distributed infrastructure and compute solutions.
• Experience with deployment and continuous integration.
• BS degree in Computer Science, a related field, or equivalent work experience.

Preferred Skills

• Familiarity with Machine Learning for Audio, multimodal, or DSP purposes.
• Experience in the AR/VR application space.
• Experience with Linux or Windows shell scripting.

Key Skills

Education

Any graduate