MS degree in computer science, engineering, or mathematics
1+ years building deep learning solutions for computer vision
1+ years building deep learning solutions for NLP
Proficient with major deep learning frameworks, preferably TensorFlow/PyTorch
Strong Python programming skills
Good understanding of data structures and algorithms
Detail-oriented, organized, self-motivated, and eager to learn
Team player with strong communication skills
Responsibilities
Develop deep learning models based on product feature requests
Design, implement, and test model experiments using deep learning frameworks
Document findings and results in Confluence for peer discussions
Collaborate with data team for in-house data management and labelling
Write production and deployment code, optimizing models for performance
Conduct research on deep learning methodologies for real-time implementation
Benefits
Outstanding start-up culture
Transparent, collaborative work environment
Excellent medical, dental, and vision coverage
401k plan and paid vacation and holidays
Full Job Description
Job Description
The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.
Responsibilities:
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
Qualifications
Basic Qualifications
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
Preferred Qualifications
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
Additional Information
We Offer...
An outstanding start-up culture;
Transparent, collaborative work environment;
Competitive compensation
Excellent Medical, Dental, and Vision coverage
401k, paid Vacation and Holiday
Videos To Watch
About VoxelCloud
VoxelCloud is a healthcare technology company that develops artificial intelligence (AI) and cloud-based solutions for medical imaging analysis. The company's products include VoxelCare, a cloud-based medical imaging platform that provides diagnostic support for radiologists, and VoxelFlow, an AI-powered medical imaging analysis tool that can detect and quantify blood flow in the brain. VoxelCloud also offers a range of other AI-powered medical imaging analysis tools for various applications. The company was founded in 2016 and is headquartered in Pasadena, California.
