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Research Scientist Intern
4 weeks ago
Job Title: Research Scientist Intern - Machine Learning for Health Tech
About the Role: We are seeking a highly motivated and talented Research Scientist Intern to join our Health Technologies team at Meta. As a Research Scientist Intern, you will work closely with our team of researchers and engineers to develop novel machine learning models that can benefit public health.
Responsibilities:
- Plan and execute cutting-edge research on developing novel machine learning models for public health applications.
- Collaborate with researchers and engineers to develop, prototype, and test different AI/ML models at-scale for real-world health applications.
- Troubleshoot, debug, and upgrade existing models, contribute to code documentation and maintenance of the data pipeline.
Requirements:
- Currently pursuing or has a PhD in computer science, electrical engineering, machine learning, biomedical engineering, or related fields.
- Experience with Python and deep learning libraries such as PyTorch, TensorFlow, NumPy, Pandas, and Scikit-learn.
- Research skills involving defining problems, exploring solutions, and analyzing and presenting results.
- Deep understanding of at least one of the following areas: machine learning for biomedical engineering, natural language processing, computer vision, multimodal learning, self-supervised learning.
Preferred Qualifications:
- Experience working and communicating cross-functionally in a team environment.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and publications at leading workshops or conferences.
- Proven track record in designing novel and fieldable machine learning models for health-related applications.
About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. We are committed to providing reasonable support in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
