Research Intern AI/ML & DH
US338 MA Cambridge - 320 Bent St, United States
USD 46K-103K Entry-level Full Time Internship
Tasks
- Apply contrastive learning and masked modeling
- Design self supervised learning frameworks for wearable time series data
- Develop transformer architectures for multimodal representation learning
- Evaluate representations on downstream digital health tasks
- Integrate accelerometer PPG ECG and heart rate using multimodal fusion
- Produce reproducible research outputs with publications and documented code
- Train foundation models on large scale unlabeled multimodal sensor datasets
Perks/Benefits
Skills/Tech-stack
Contrastive Learning | Cross-modal attention | Deep learning | Digital Health | Digital Health Analytics | Health Analytics | Large-scale | Large-scale Machine Learning | Machine Learning | Masked Modeling | Multimodal Learning | Multimodal fusion | Physiological signal processing | PyTorch | Python | Self-Supervised Learning | Self-supervised | Series modeling | Signal Processing | Supervised Learning | TensorFlow | Time Series | Time Series Modeling | Transformers | Wearable Sensors
Education
Roles
Intern | Machine Learning Researcher | Research Intern | Researcher
Regions
Countries
States
Cities
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