Banting AI is harnessing the power of advanced AI to reshape the future of healthcare. By unlocking the potential of healthcare data, we aim to accelerate the path to life-saving treatments. Our mission is ambitious: to build technology that empowers clinical research and drives personalized, predictive medicine. As we refine our platform and expand our capabilities, we’re looking for talented individuals who share our vision and are eager to make a lasting impact on health and science.

As a Machine Learning Engineer at Banting AI, you will play a key role in developing our multimodal foundation models, which integrate diverse healthcare data sources such as imaging, electronic health records (EHR), and genomics. Your work will be at the forefront of scientific innovation, helping to unlock complex insights within clinical data and improve patient outcomes. You’ll build robust, scalable models that empower clinicians and researchers, drive clinical insights, and support the company’s mission of transforming healthcare.

• Design and develop machine learning models that integrate and harmonize multiple data types (e.g., imaging, EHR, genomic data) into powerful multimodal foundation models.
• Collaborate with data engineering and scientific teams to establish data workflows that ensure data quality, accuracy, and compliance, supporting robust model training and testing.
• Engage in rigorous feature engineering and model tuning to enhance model accuracy and reliability across various healthcare applications.
• Perform model validation and continuous optimization, ensuring model outputs are scientifically sound, clinically meaningful, and applicable in real-world healthcare settings.
• Work cross-functionally to align model development with clinical objectives and regulatory standards.
• Contribute to advancing Banting AI’s expertise in multimodal AI by keeping up-to-date with the latest research and emerging technologies in healthcare AI.
• Implement responsible AI practices, including bias detection, fairness evaluation, and safety checks, to ensure that models align with ethical and regulatory standards in healthcare.

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field with a strong foundation in applied machine learning.
• 3+ years of experience in machine learning engineering, with demonstrated expertise in multimodal data or healthcare applications.
• Proficiency in Python and experience with key machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Scikit-Learn.
• Strong understanding of multimodal data fusion, feature engineering, and model architecture for scalable applications in clinical and research settings.
• Experience working with healthcare or biomedical data (e.g., EHRs, imaging, genomics) and familiarity with healthcare data privacy and compliance standards (HIPAA, GDPR).
• Excellent problem-solving skills, scientific rigor, and a collaborative approach to working within a cross-functional team.

At Banting AI, we are committed to fostering an inclusive and diverse environment. We believe that diversity in thought, background, and experience strengthens our team and contributes to innovative solutions in healthcare. We welcome candidates from all backgrounds to apply.