- Design and development of new frameworks and core software components to implement, optimize, visualize, and debug sensor fusion and machine learning algorithms.
- Design and prototype critical sensor technologies that combine multiple sensing modalities, while balancing system-level constraints on compute, performance, and power.
- Collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next generation sensor systems, including alternative sensing modalities and novel sensing algorithms that advance the state-of-the-art in AR/VR systems.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 2+ years of experience coding with C++ and Python for design and development of sensor fusion and machine learning technologies and systems.
- Demonstrated experience with modern machine learning frameworks such as PyTorch or TensorFlow.
- Familiarity with modern machine learning algorithms, specifically in Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), transformers, clustering, and dimensionality reduction.
- Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation.
- Experience in designing software systems and machine learning models targeted for edge devices.
- MS or PhD degree in Computer Science, Machine Learning, Robotics or related technical field.
- Familiarity with Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO).
- Proven track record of achieving significant results as demonstrated by patents or first-authored publications.
- Familiarity with Inertial Sensors, Pressure Sensors, Magnetometers, and/or similar sensors.
- Familiarity with the emerging Augmented Reality and Virtual Reality technologies.
- Demonstrated experience collaborating cross functionally
- High levels of creativity and quick problem-solving skills.
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