Job Description
Job Description: *Responsibilities:*
Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage)
Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued
Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency
Coordinate with a large set of internal infrastructure and tool teams across the lab and across the company to evaluate and integrate with existing systems
Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving
*Requirements:*
Bachelor's degree in Computer Science or related field, or equivalent work experience.
4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation.
Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.
Experience working with high performance or distributed compute solutions.
Deploymen...