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 email@example.com. 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 firstname.lastname@example.org. Please put “Machine Learning Intern” in the subject line.