Research Scientist Intern
2 days ago
Meta is seeking a highly motivated and talented Research Scientist Intern to join our Health Tech Hearing Sciences team. As a Research Scientist Intern, you will have the opportunity to work on cutting-edge projects that combine machine learning with classical DSP algorithms to improve the well-being of people worldwide.
Responsibilities:- Improve our spatial audio datasets using ambisonics and real-world scenarios.
- Prototype miniature machine learning architectures for cutting-edge hardware.
- Use quantitative methods to define, implement, and evaluate key ideas in our research agenda.
- Collaborate with firmware engineers and product leads to ensure your work has impact.
- Currently pursuing or has a PhD in machine learning, speech and language processing, signal processing, electrical engineering, computer science, statistics, physics, or related fields.
- Research-oriented implementation skills, including fluency in scientific Python and PyTorch/Tensorflow.
- Experience in machine learning, signal processing, spatial audio, and/or acoustics.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Strong understanding of classical signal processing techniques.
- Fluency in C/C++.
- Passion for or prior experience in edge compute and audio processing.
- Experience training and evaluating machine learning models on distributed networks.
- Intent to return to degree program after completion of the internship.
- Experience working and communicating cross-functionally in a team environment.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and publications at leading workshops or conferences.
$7,800/month to $11,293/month + benefits
Industry:Internet
Equal Opportunity:Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, 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.
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