Machine Learning Engineer

2 weeks ago


Wayland, United States Whitridge Associates Full time

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.

This role is ideal for someone passionate about leveraging AI in medical imaging and who has a solid foundation in both theoretical and applied aspects of machine learning and computer vision. Collaboration and integration skills will also be crucial for successfully advancing the projects.



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