Research Scientist Intern, Machine Learning, Health Tech (PhD)

Meta Platforms • Burlingame, CA

353d

About The Position

The Health Technologies team of the Reality Labs is looking for a research intern to help us develop the next generation machine learning models that aim to improve the public health outcomes, at Meta scale. We are seeking candidates who have experience with the following domains: machine learning for biomedical engineering, natural language processing, computer vision, multimodal learning, self-supervised learning. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Internships are available at our Menlo Park, Seattle, and New York City locations.

Requirements

• Currently has, or is in the process of obtaining, 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, 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.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience working and communicating cross functionally in a team environment.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as IWAENC, ICASSP, NeurIPS, or ICML.
• Proven track record in the design of novel and fieldable machine learning models for health related applications.
• Experience on working with time sequence form sensor data, such as PPG, CKG, IMU and audio.
• Intent to return to the degree-program after the completion of the internship/co-op.

Responsibilities

• Assist in developing machine learning models for public health outcomes.
• Conduct research in machine learning for biomedical engineering, natural language processing, computer vision, multimodal learning, and self-supervised learning.
• Define problems, explore solutions, and analyze and present results.

What This Job Offers

• Career Level: Intern
• Industry: Broadcasting and Content Providers
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees