Software Engineer V

• Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
• Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage our powerful infrastructure (through e.g. source control, distributed compute clusters, data storage).
• Coordinate with a large set of internal infrastructure and tool teams across the lab and across our company to evaluate and integrate with existing systems.
• Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued
• Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.

• BS 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.
• Some deployment and continuous integration experience.

• Familiarity with Machine Learning for Audio, multimodal or DSP purposes
• Experience working in the AR/VR application space.
• Experience in Linux or Windows shell scripting.
• Ability to gather requirements and work closely with researchers to develop novel solutions
• History of writing code to support the execution of research initiatives

Crystal Equation