We are an Artificial Intelligence (AI) Healthcare company focused on improving quality of diagnosis and care across areas of life sciences.
Netra.AI – A Comprehensive Ophthalmology Platform
Netra.AI uses cutting edge Algorithms with a 4 step Deep Convolution Neural Network (DCNN). Algorithm is developed in guidance with some of the leading experts in Retina globally. Netra.AI enables automated and point of care Retinal Image Analysis.
- Reduce incidence of blindness by timely identification of patients at risk
- Offer insights to medical practitioners thus enabling improved diagnostic outcome
Netra Screen is designed to transform Retinal Screening (in individual outpatient settings or mass screening platforms) with a scalable, low cost, fast and accurate automated risk profiling powered by Artificial Intelligence!
Accessed through cloud-based web portal or direct integration with the Fundus camera application, Netra Screen analyses fundus photographs within minutes for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma*, AMD* and a host of other retinal conditions*
Image Quality: With real-time image quality assessment, Netra Screen can virtually eliminate loss arising out of poor images
Lesion annotation: Netra Screen provides a great patient education tool along with insights to users
Advanced tools: Blood vessel segmentation and image post processing empower users and specialists with greater insights to make fast and accurate diagnosis
An optional triage by trained specialists is also available to review referable cases through Netra Tele platform.
Netra Track enables doctors and patients to manage and view retinal changes over time.
Netra Track maintains records of retinal images and automatically detects and highlights changes upon every followup visit, enabling better visualization and control over disease progression.
The solution is targeted at device manufacturers, EMR companies, HIS companies. Netra API seamlessly integrate with existing health care systems and devices and automate the grading process.
1) Software Solution Provider – Electronic Health Records, Electronic Medical Record, PACS provider for Hospital and clinics , Tele medicine Software Providers.
2) OEM – Retina Camera Manufacturers
1) Product Value Enhancement – White Label
2) Smart Devices
3) Reduced specialist load
Our mission is to develop artificial intelligence products and solutions that improve access and quality of diagnosis across areas of life sciences.
Our vision is to be recognized as an innovative technology company with strong research orientation & focus on solving real world problems that have large social and economic impact.
We are looking for talented, dynamic individuals who want to join us in this exciting journey in developing path breaking AI Platforms. We are amplifying the use of deep machine learning to solve healthcare problems in Ophthalmology. Our company culture values talented team members, rewards innovation, and celebrates success.
Please send your resume and a self introduction to email@example.com
We are putting together a world-class research and development team to build a platform enabling next generation of medical imaging diagnostic.
Master’s Degree or PhD – Computer Science, Artificial Intelligence or related background.
You have experience in implementing best breeds of deep learning architectures.
You have an important track record as a researcher in machine learning and have published impactful journal papers.
Experience and mastery of scientific programming and libraries relevant to your field for example: Theano, TensorFlow, Caffe , Lasange , Keras ,NumPy etc.
Experience with at least one of the following programming language: Python, C++.
Experience in delivering high-quality production code and continuously learning the best practices to turn research into delightful products.
Staying up-to-date on the scientific literature in your field, and even contributing to it by publishing in famous journals and conferences.
Proven and demonstrated implementation skills (putting theory into practice).
Self-driven energetic, creative and ability to work in international teams.
Once you are here you will
Your primary mission is to put machine learning algorithms into practice, while growing your own expertise in machine learning.
Implement novel algorithms in Computer vision techniques; deep learning and applications of machine learning on images and videos.
Keep up to date with the cutting edge of deep learning, and transition those techniques to the medical domain.
Design and build novel models to solve unique medical problems.
Leading a team of data scientists delivering AI based products for improved patient outcomes.
Python, Machine Learning, Statistics, Deep Learning
What we offer for your valuable work:
Highly dynamic, innovative, passionate, intrapreneurial team
Employee Stock Option Plan
How to Apply
Please send a cover letter and resume to firstname.lastname@example.org. Please put “Principal Machine Learning Engineer” in the subject line.
Leben Care is offering 3/ 6/ 9 month internships in the areas of deep machine learning and computer vision . The internships will require novel research as well as development for solving challenging problems . We are seeking qualified and highly motivated graduate students (Masters, PhD) interested in working on these problems.
The interns will have an opportunity to work on large public domain datasets; publish in top-tier conferences such as CVPR, ICCV, ECCV, NIPS, ICML and SIGGRAPH; work with business-proprietary use cases and datasets leading to inventions and patents.
- A BS/ MS degree in Computer Science, Electrical Engineering or related field.
- Hands-on experience in machine learning / computer vision . Prior publication record in relevant top-tier conferences/ journals highly desirable.
- Proficiency in C, C++, Python. Experience using OpenCV, Caffe, Theano / Torch.
- Experience on application development in Linux/ Windows desirable.
- Excellent communication, problem-solving and analytical skills, ability to learn quickly.
- A strong passion for empirical research and for answering hard questions with data.
- Ability to work both autonomously and in a team.
Number of Positions
How to Apply
Please send a cover letter and resume to email@example.com. Please put “Machine Learning Intern” in the subject line.
Partners and Collaborators
*Disclaimer: The NETRA.AI Platform and Solutions described in these pages are for investigation use only and are not available for clinical use. The product has not been reviewed by the Food and Drug Administration or any other regulatory body. Additional review may be necessary before a product can be offered commercially. Leben Care is evaluating the regulatory requirements for its products in development.