Meta Reality Labs (RL) Sensors Team is helping build novel sensor products in Augmented and Virtual Reality. Meta AR/VR research in computer vision, localization, sensor fusion, and machine learning is driving the state-of-the-art forward through relentless innovation. Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future AR/VR products at Meta. This position will work with cross functional teams’ researchers and engineers to architect low power, small size, on-sensor ML algorithms and HWs. We are looking for candidates with experience in optimization of DNN with power and size trade-offs.
Machine Learning Researcher Responsibilities:
Collaborate with cross functional team engineers and researchers across Meta to develop novel concepts and algorithms that advance the state-of-the-art in AR/VR systems.
Work with the team to architect on-sensor machine learning algorithms and HW.
Optimize DNN for size and power.
Benchmark NNs for accuracy, size, and power.
Work with cross functional teams to architect on-sensor machine learning algorithms and HW.
Experience in DNN performance benchmarking.
Interpersonal experience with cross-group and cross-culture collaboration.
Working knowledge in a Linux environment.
Experience in optimization of DNN for low power and small area implementations.
Industry experience in low power, small size machine learning algorithms and the HW architectures.
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