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
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
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.
