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

Key Skills

Aartificial intelligence, Deep Learning, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

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

• Plan and execute cutting-edge research on developing novel machine learning models that can benefit public health.
• Conduct SOTA research while collaborating with other researchers, and engineers to develop, prototype, and test different AI/ML models at-scale for real-world health applications. Present and share results with key stakeholders.
• Troubleshoot, debug and upgrade existing models, contribute to code documentation and maintenance of the data pipeline.

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD in computer science, electrical engineering, machine learning, biomedical engineering, or related fields.
• 2+ years of experience with Python and in using deep learning libraries and related frameworks, such as Pytorch, TensorFlow, numpy, pandas, scikit-learn.
• Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
• Excellent 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.

Preferred Qualifications

• First author publication in a top conference or journal.
• 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.

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 committed to providing reasonable support (called accommodations) 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. If you need support, please reach out to accommodations-ext@fb.com.

$7,500/month to $11,333/month + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.