Machine Learning Scientist
Our Company
Gentuity is an exciting and highly innovative medical technology firm, active in the research and development, clinical translation, and commercialization of vascular imaging devices. This opportunity provides the candidates the unique chance to work on innovative medical products, with the potential to significantly change the practice of medicine in the care of patients suffering from a wide range of highly debilitating vascular diseases.
SUMMARY OF PRIMARY DUTIES AND RESPONSIBILITIES:
- Experiment with state-of-the-art methods in camera-based 2D/3D segmentation, inter-modality co-registration, object detection and classification of key features within the IV-OCT imaging data.
- Train neural networks on large-scale in-house OCT and X-ray Angiogram datasets.
- Analyze experimental results and come up with ways to improve the accuracy and scalability of our models.
- Help integrate models into the Gentuity system software, including profiling and optimization of both the model and the end-to-end AI pipeline.
- Collaborate with researchers and engineers across several organizations within the company.
EXPERIENCE/SKILL REQUIREMENTS:
- 5+ years of relevant work experience with MS OR 2+ years of experience with PhD (postdoc included)
- Extensive experience with Deep Learning, Computer Vision or a related field.
- Advanced AI/ML experience in foundational models, generative AI, multi-modal models, multi-instance learning, semi/weakly/un-supervised learning and other cutting-edge ideas.
- Experience with deep neural network training in leading frameworks such as TensorFlow and/or PyTorch.
- Solid fundamentals in computer vision and ML theory.
EDUCATIONAL REQUIREMENTS:
- MS, or PhD degree in Engineering or Computer Science or equivalent experience.