Bunkerhill is building a foundation model for medical imaging to help researchers bring their algorithms to the clinic faster and with less data, enabling them to build robust, generalizable algorithms and validate them for clinical use.
Requirements
- Python, PyTorch, TensorFlow or similar machine learning frameworks.
Responsibilities
- Design, develop, and deploy machine learning algorithms and models, with a focus on Deep Learning and Computer Vision techniques.
- Define and operate batch processing pipelines.
- Create and maintain user documentation to help researchers on board their AI models.
- Develop large deep learning models with self-supervised learning on multimodal data.
- Optimize algorithms for performance, scalability, and efficiency, considering real-world deployment constraints.
- Evaluate and validate models using appropriate metrics and datasets, ensuring robustness and reliability.
Other
- Master’s degree or foreign degree equivalent in Computer Science, Engineering, Mathematics, or a closely related field
- Communicate findings to other engineers, operators, and leadership.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
- Conduct research to stay abreast of the latest advancements in machine learning, deep learning, and computer vision.
- Mentor junior team members and contribute to knowledge sharing within the organization.
