Meta AR/VR Job | Research Intern, Machine Learning for Sensors (PhD)
Job（岗位）: Research Intern, Machine Learning for Sensors (PhD)
Type（岗位类型）: Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2023-12-24
Summary（岗位介绍）
Reality Labs (RL) develops products for augmented, virtual, and mixed reality. Central to this effort is the development of sensing technologies. We are looking for intern candidates with experience in novel machine learning algorithm development involving time-varying signals. Our internships are twenty four (24) weeks long and we have various start dates throughout the year.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Electrical Engineering, Mathematics, Physics, or related fields
Experience in C++, Python, MATLAB or equivalent
Experience in at least one machine learning platform (PyTorch, TensorFlow, Keras, MATLAB or equivalent)
Experience with signal conditioning and processing (filtering, envelope extraction, etc.)
Experience with machine learning methods and concepts (CNN, SVM, LSTM, etc.)
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Interpersonal experience: cross-group and cross-culture collaboration
Description（岗位职责）
Analyze sensor data to investigate object’s features or motions patterns
Develop and optimize novel machine learning algorithm with time-varying signals
Develop the necessary code base and infrastructure for the efficient handling and analysis of the data and development of machine-learning models
Communicate and present results to a wide range of audiences
Additional Requirements（额外要求）
Hands-on experience with signal processing, data analysis, machine learning models, or platform development in ultrasound, radar, lidar or equivalent
Familiarity with modern machine learning concepts (transformers, attention, etc.)
Familiarity with object or face tracking or recognition methods
Intent to return to degree program after the completion of the internship/co-op
