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Form of workReality 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.
- 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
Minimum Qualifications:
- 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
Preferred Qualifications:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and Machine Learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
