Description

You will build ML tooling and infrastructure to support research scientists in an AR/VR environment.

This role is on-site.

Responsibilities

• Write clean, maintainable code and debug complex system-wide problems.
• Develop scalable ML infrastructure, including source control, distributed compute clusters, and data storage.
• Implement and evaluate end-to-end prototypical learning systems.
• Coordinate with internal infrastructure and tool teams to integrate existing systems.
• Collaborate within multifunctional teams through clear documentation and communication.

Required Skills

• 4+ years of industry experience with Python and deep learning frameworks like PyTorch or TensorFlow.
• 2+ years of experience working with large, complex machine learning datasets, including capture and annotation.
• Experience implementing and evaluating working end-to-end learning systems.
• Experience with high-performance or distributed compute solutions.
• Knowledge of deployment and continuous integration processes.
• Ability to work with AI/ML engines and distributed infrastructure.
• BS degree in Computer Science, a related field, or equivalent work experience.

Key Skills

Education

Any graduate