Machine Learning Engineer - Computer Vision & NLP

Company Description

Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai

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 engineer to 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

All your information will be kept confidential according to EEO guidelines.