Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.
About the role
- Machine Learning Engineer developing AI models for satellite and drone data analysis. Engaging with geospatial challenges and pioneering advancements in computer vision technology.
Responsibilities
- Train and fine-tune state-of-the-art **vision models** for geospatial analytics.
- Research and implement **cutting-edge ML architectures** and workflows.
- Contribute to our **no-code AI platform**, where the users can easily train models themselves.
- Apply techniques such as **foundation model adaptation**, **semi-supervised learning**, and **efficient model deployment.**
Requirements
- Strong grounding in **machine learning / deep learning**, especially **computer vision.**
- Experience with **PyTorch**, **Python**, and modern ML workflows.
- Interest in **geospatial data**, Earth observation, or large-scale AI systems.
- A curious mind and motivation to push technical and creative boundaries.
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