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Benefits offered by this job
Company-sponsored employee medical benefits
Participation in Company’s consolidated retirement plan
Sick time benefits up to 40 hours
Job summary
A leading healthcare company is seeking a Research Intern in Cambridge, Massachusetts, from May to August 2026. This full-time role focuses on developing models for multimodal wearable sensor data, and requires a PhD candidate in Machine Learning or related fields with strong programming skills in Python. The intern will work on advanced machine learning techniques to impact digital health applications. Competitive hourly pay ranges from $23.00 to $51.50.
Qualifications
Strong programming experience with Python and deep learning frameworks.
Currently pursing a PhD with a cumulative GPA of 2.8 or higher.
Experience working with large-scale datasets and research pipelines.
Responsibilities
Train foundation models on large-scale unlabelled multimodal sensor datasets.
Develop architectures using transformers and contrastive learning.
Evaluate learned representations on downstream health tasks.
Skills
Programming with Python
Deep learning frameworks (PyTorch, TensorFlow)
Experience with large-scale datasets
Technical background in deep learning for time-series data
Education
Currently pursuing a PhD in Machine Learning, AI, Computer Science, Biomedical Engineering, or related fields
Completion of Undergraduate Freshman year at an accredited University
Job description
A leading healthcare company is seeking a Research Intern in Cambridge, Massachusetts, from May to August 2026. This full-time role focuses on developing models for multimodal wearable sensor data, and requires a PhD candidate in Machine Learning or related fields with strong programming skills in Python. The intern will work on advanced machine learning techniques to impact digital health applications. Competitive hourly pay ranges from $23.00 to $51.50.