🌎
This job posting isn't available in all website languages

Machine Learning Scientist

📁
Engineering
📅
431 Total Views
Apply for Job
Recommend to a Friend
Sign Up for Job Alerts
At Hologic, we’re an innovative medical technology company that enables healthier lives everywhere, every day. We are also a company that prospers and grows, which is why we’ve been able to expand our offerings to empower even more people and champion women’s health
 
What powers our growth across Breast & Skeletal Health, Diagnostics, GYN Surgical and Medical Aesthetics Solutions is also what differentiates us: the exceptional and clinically proven capacity of our products to detect, diagnose and treat illnesses and other health conditions earlier and better. This clinical superiority creates high expectations, which we fulfill by continually challenging ourselves to improve health through better technology, education and market access.
 
None of this would be possible without the talent and passion of our employees. Together, our expertise and dedication to developing and sharing more robust, science-based certainty drives our global presence and a promising pipeline that responds to the unmet health and wellness needs of women, families and communities.
 
While we focus on women’s health and well-being, we are committed to having an even broader benefit on the world. Together, we advocate for better health and wellness through solutions that provide ever greater certainty and peace of mind.
 
The Machine Learning Scientist at Hologic. Inc. in Santa Clara, California will:
  • Design and implement sophisticated image processing and analysis algorithms
  • Evaluate algorithms and develop tools for quantitative and qualitative analysis
  • Develop image processing, segmentation, feature extraction algorithms for medical imaging applications
  • Conduct research on machine learning algorithms including deep learning 
  • Develop machine learning and pattern recognition algorithms for medical imaging applications, including detecting and classifying objects in 2D and 3D medical images
  • Develop products that can provide workflow and visualization solutions for radiology
  • Investigate and evaluate existing technologies. Perform C and C++ programming in a Windows environment
  • Communicate ideas and brainstorm with fellow researchers on ideas and issues
  • Design and implement appropriate tools to analyze results and optimize development
  • Create software tools for effective algorithm training and testing
  • Perform software validation and verification
  • Maintain programs including bug-fixes and modifications
  • Work with large scale medical image data on classification, detection, and segmentation tasks in both Windows and Linux system
  • Work with Caffe and TensorFlow deep learning platform
  • Perform MATLAB programming for prototyping and analysis
 
Minimum Requirements: Requires a Master's degree in Electrical and Computer Engineering, Biomedical Engineering, or related field plus two years of experience developing image processing and machine learning algorithms. Two years of experience must include two years of experience with each of the following: (1) C and C++ programming in a Windows environment; (2) Caffe and TensorFlow deep learning platform; (3) developing machine learning and pattern recognition algorithms for medical imaging applications; (4) developing workflow and visualization solutions for radiology; (5) developing image processing, segmentation, feature extraction algorithms for medical imaging applications; (6) MATLAB programming for prototyping and analysis; (7) evaluating algorithms and developing tools for quantitative and qualitative analysis; (8) working with large scale medical images in Windows and Linux environment for classification, detection, and segmentation applications.

Previous Job Searches