Machine Learning/Medical Image Scientist

Los Angeles
Job Type: 
Full Time
Closing Date: 
Sunday, December 31, 2017

Voxel Cloud Inc. was founded in 2016 by a group of professors from University of California in Los Angeles (UCLA) and Arizona State University (ASU). We have received over 20 million USD venture capital funding from world’s top investors such as Sequoia, Tencent and New Margin. In Voxel Cloud, we develop computer-aided detection systems for detecting and diagnosing various diseases ranging from cardiovascular and lung diseases to eye diseases. Our solutions are based on the state-of-the-art computer vision, deep learning and artificial intelligence technology.

Our rapidly growing team consists of research scientists and software engineers from the most prestigious universities and companies such as UCLA, Cedars-Sinai Medical Center, Mayo Clinic, CMU, GE, PHILIPS, SIEMENS, SAP, CareStream, JD.COM, Elsevier, and Medtronic. We are currently recruiting talents and we offer very competitive salary for both full-time and internship positions:

1. Machine learning scientist: The responsibilities include developing image classification models and image parsing algorithms (object detection and object segmentation), and publishing results in the top conferences and journals of the medical imaging and computer vision field. The candidates should be proficient with at least one deep learning library (Caffe/Torch/TensorFlow). Prior experience with medical image analysis is a plus.

2. Software Engineer:  Candidates must have a degree in computer science, biomedical informatics, or another relevant field, exceptional skills in Python and C/C++ and familiarity with high-quality software practices (fast-prototyping, test-driven development, design patterns, etc.). Good understanding of algorithms in image analysis, computer vision, computer graphics, and machine learning is preferred.  Experience in distributed computing / parallel computing is a plus. The Software Engineer will work closely with machine learning scientists and clinicians to develop next-generation, high-performance imaging products.

If interested, please send your resume to Nima Tajbakhsh at