Machine Learning Engineer, VoxelCloud
Computer Vision & NLP
Automated medical image analysis
Open for applications
Automated medical image analysis
21-100 employees
Open for applications
21-100 employees
Company mission
VoxelCloud's mission is to enhance the quality of healthcare with AI – improving outcomes for all.
Role
Who you are
- MS degree in computer science, engineering, or mathematics
- 1+ years of relevant experience in building deep learning solutions for computer vision problems
- 1+ years of relevant experience in building deep learning solutions for NLP 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+ years of relevant experience in building deep learning solutions for computer vision problems
- 2+ years of relevant experience in building deep learning solutions for NLP problems
- Hands-on experience with Transformers, Bert, and other advanced NLP models
- Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
- Track record of publications in CV and NLP is a plus
- Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
- Prior experience with medial images is a plus
- Prior experience with medial report mining is a BIG 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
Otta's take
Sam Franklin
CEO of Otta
VoxelCloud offers healthcare providers automated medical image analytics which leverage AI to assist with the diagnosis of lung cancer, retinal diseases, and coronary heart disease – a list which it’s aiming to add to in future.
That VoxelCloud has offices in China and its largest investors include Shenzhen Hongtai Capital Management Group, Qingsong Fund, and Hanfor Capital Management indicates that the company has largely been targeting the Chinese healthcare space since launching in 2016.
However, a changing of the guard in the leadership team, coupled with the company being deep in preparation for US clinical trials, suggests that its eyeing up a major expansion at home.
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 4 rounds)
Dec 2018
$50m
SERIES B
Oct 2017
$15m
SERIES A
Total funding: $78.5m
Company benefits
- An outstanding start-up culture
- Transparent, collaborative work environment
- Excellent Medical, Dental, and Vision coverage
- 401k, paid Vacation and Holiday
Company HQ
Westwood, Los Angeles, CA
Articles
Founders
Demetri Terzopoulos
(Chief Science Officer)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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