Research Engineer - Deep Learning
San Francisco · Full Time
Our company is at the forefront of bringing deep learning advances to critical unsolved problems in healthcare. We have assembled an exceptional team of clinicians, engineers, and scientists who are developing breakthrough technologies in cardiovascular imaging and care to combat heart disease, the leading cause of death worldwide.
We are looking for a versatile engineer who has demonstrated capabilities to scientifically develop, benchmark, and validate a wide variety of deep neural network architectures for the purpose of extracting clinically-relevant knowledge from medical images.
Master or PhD in engineering or science (Computer Science, Physics, Neuroscience, Materials Science, Mathematics).
Academic or hands-on experience in training, testing, developing and analyzing deep neural networks (recurrent, convolutional, spatio-temporal, attention-based).
In-depth knowledge of Python and/or C++ programming.
An ability to write clean code and integrate feedback through code reviews to improve code quality.
Fluency with theoretical and practical concepts and principles of Machine Learning.
Strong teamwork ethic, passion for learning and desire to seek new challenges.
You will develop state-of-the-art and entirely new deep neural network architectures.
You will develop training and testing pipelines to assess the performance of these architectures on clinically-relevant image processing tasks.
You will keep up with the blossoming deep learning literature in order to implement the latest techniques into our networks and pipelines.
You will read the relevant medical literature to be able to develop sound validation procedures/metrics.
You will develop machine-learning algorithms on a breadth of software frameworks (TensorFlow, Caffe, Torch, scikit-learn) and deploy on a diversity of hardware platforms (Titan X GPUs, chips for embedded applications like the TX1 platform).
We are an equal opportunity employer.
Python, C++, Machine Learning, Neural Networks, Deep Learning, Deep Neural Networks, Network Architectures
$110K – $185K
0.125% – 0.85%
San Jose, San Francisco CA
Phone: (866) 816-1615 x 823