Machine Learning Engineer, VoxelCloud
Automated medical image analysis
Open for applications
Automated medical image analysis
21-100 employees
Open for applications
21-100 employees
Company mission
To enhance the quality of healthcare with AI – improving outcomes for all.
Role
Who you are
- MS degree in computer science, engineering, or mathematics
- 2-3 years of relevant experience in building deep learning solutions for computer vision problems
- Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
- Proficient in Python
- Good CS fundamentals in data structures and algorithm
- Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
- Work well in teams and communicate ideas clearly
Desirable
- PhD degree in computer science, engineering, or mathematics
- 3-5 years of relevant experience in building deep learning solutions for computer vision problems
- Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet)
- Track record of publications in CV and medical image analysis is a plus
- Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus
- Prior experience with medial images is a plus
What the job involves
- Develop deep learning models for prototyping and production purposes according to product feature request
- Design, implement and test model experiments using major deep learning frameworks
- Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
- Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
- Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
- Conduct methodology research in deep learning to drive scalable, real-time implementation
Our take
VoxelCloud offers healthcare providers automated medical image analytics powered by AI, assisting in the diagnosis of conditions such as lung cancer, retinal diseases, and coronary heart disease, with plans to expand this list in the future.
Since its launch in 2016, VoxelCloud has primarily focused on the Chinese healthcare market, as indicated by its offices in China and major investors like Shenzhen Hongtai Capital Management Group, Quingsong Fund, and Hanfor Capital Management.
Now, with a leadership change and preparations for US clinical trials, VocxelCloud is poised for expansion into the American market. By leveraging its successes in China, the company aims to enhance its product offerings and broaden its reach in AI-assisted medical diagnostics.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Dec 2018
$50m
SERIES B
Oct 2017
$15m
SERIES A
Total funding: $78.5m
Company HQ
Westwood, Los Angeles, CA
Leadership
Demetri Terzopoulos
(Co-Founder & Chief Scientist)Chancellor's Professor of Computer Science at University of California, Los Angeles, holding the rank of Distinguished Professor. Directs the UCLA Computer Graphics & Vision Laboratory.
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