What are the responsibilities and job description for the Machine Learning Engineer position at Whitridge Associates?
We are seeking an experienced Machine Learning Scientist to contribute to the advancement of medical imaging technologies. In this role, you will focus on 2D/3D segmentation and object detection using state-of-the-art methods in medical imaging, specifically in OCT and X-ray angiography. You will be responsible for training neural networks on large-scale datasets, analyzing experimental results, and optimizing model performance for integration into existing software systems.
Key Responsibilities:
- Segmentation and Object Detection: Experimenting with state-of-the-art methods for 2D/3D segmentation and object detection in medical imaging.
- Model Training: Training neural networks on large-scale datasets, specifically in the context of OCT and X-ray angiography.
- Result Analysis: Analyzing outcomes from experiments and developing strategies to enhance model accuracy and scalability.
- Integration and Optimization: Working on the integration of models into existing software systems, focusing on performance profiling and optimization.
- Collaboration: Collaborating across teams and organizations to advance research and implementation efforts.
Required Qualifications:
- Educational Background: An MS or PhD in Engineering, Computer Science, or a related field.
- Experience: A minimum of 5 years of relevant experience (or 2 years with a PhD).
- Deep Learning Expertise: Extensive experience with deep learning and computer vision techniques.
- Advanced AI/ML Knowledge: Proficiency in foundational models, generative AI, and various learning paradigms.
- Technical Skills: Hands-on experience with frameworks like TensorFlow and PyTorch for deep neural network training.
- Theoretical Knowledge: Strong understanding of computer vision and machine learning principles.
