Research Scientist IV

Burlingame, CA - onsite

Duration: 9 Month Contract on W2

At Meta’s Reality Labs Research, we are exploring and designing novel technologies for the next generation of AI and augmented reality experiences. We are seeking a highly skilled and motivated ML Engineer/Scientist to join our human-computer interaction (HCI) research team. We are looking for a candidate with strong coding skills and expertise in machine learning for time-series sensor data, computer vision (CV), software engineering, and/or hardware-software systems bring-up. The successful candidate will join our multidisciplinary team to work on gesture recognition and multimodal machine learning using novel sensor technologies.

Responsibilities

● Develop and benchmark machine learning and computer vision models for

applications such as gesture recognition, hand pose estimation, object detection, contextual understanding, or physiological signal processing.

● Design and implement ML pipelines and systems that collect and preprocess datasets

and enable algorithm experimentation.

● Enable multimodal data collection by developing experimental protocols for

human-subjects research and bringing-up prototype wearable sensor software and hardware systems

● Collaborate across an interdisciplinary team of researchers and engineers to collect multimodal training datasets and to develop real-time interaction demos.

● Regularly report on project status, deliver high-quality code with thorough

documentation, and effectively communicating updates through presentations and written reports

Minimum Qualification:

● 2+ years of experience developing and evaluating ML/CV models

● 2+ years of experience developing ML pipelines (e.g., dataset preprocessing, model experimentation and evaluation, software integration, and real-time deployment).

● 3+ years of experience coding with Python

● Experience working with data from physical sensing technologies (e.g., cameras, physiological sensors, electromyography, lidar, radar, IMU)

● Bachelor’s degree in computer science, Electrical Engineering, or related area, or equivalent practical experience

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