Machine Learning Engineer

Voxelcloud is hiring a Machine Learning Engineer (R&D) to build deep learning models for medical imaging applications with an onsite role in Los Angeles, CA.

Responsibilities

• Develop deep learning models for both prototyping and production, aligned to product feature requests
• Design, implement, and test model experiments using major deep learning frameworks
• Document experiment outcomes and findings, including summary statistics, for peer discussion and review in Confluence
• Share insights that influence data collection and annotation and collaborate with the data team on in-house data management and labeling
• Build production and deployment code, including dockerization
• Iterate deployed models to improve performance and inference speed
• Conduct methodology research in deep learning to enable scalable, real-time implementation

Medical Imaging Focus

• Model development for disease detection and quantification
• Disease risk stratification
• Image synthesis
• Text report mining

Requirements

• MS degree in computer science, engineering, or mathematics
• 2-3 years of relevant experience building deep learning solutions for computer vision problems
• Proficiency with at least one major deep learning framework, preferably TensorFlow or PyTorch
• Proficiency in Python
• Strong CS fundamentals, including data structures and algorithms
• Detail-oriented, well organized, and self-motivated with a continuous drive to learn and explore
• Ability to work in teams and communicate ideas clearly

Preferred Qualifications

• PhD degree in computer science, engineering, or mathematics
• 3-5 years of relevant experience building deep learning solutions for computer vision problems
• Hands-on experience with state-of-the-art approaches such as:
  • Object detection: RetinaNet, Mask RCNN, CenterNet
  • Semantic segmentation: U-Net, deeplab
  • Image classification: ResNet, DenseNet
• Track record of publications in CV and medical image analysis
• Experience with model optimization such as network quantization and mixed-precision training
• Prior experience with medical images

Technologies

• TensorFlow
• PyTorch
• Python
• Confluence
• Dockerization (production/deployment)
• Deep learning frameworks

Benefits

• Outstanding start-up culture
• Transparent, collaborative work environment
• Competitive compensation
• Excellent Medical, Dental, and Vision coverage
• 401k
• Paid Vacation and Holiday

Location: Los Angeles, CA (onsite)