Machine Learning Engineer - Computer Vision & NLP

Position Overview

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. The R&D team in Los Angeles is dedicated to creating innovative deep learning solutions for various product lines including Thorax, Retina, Cardio, and Skin. We are hiring a full-time engineer to join our model team.

Key Responsibilities

• Develop deep learning models for prototyping and production purposes based on product feature requests
• Design, implement, and test model experiments using major deep learning frameworks
• Document experiment findings and results with supporting summary statistics for peer discussion and review (Confluence)
• Provide insights for data collection and annotation while collaborating with the data team for in-house data management and labeling
• Write production and deployment code (dockerization) and iterate deployed models to achieve optimal performance and inference speed
• Conduct methodology research in deep learning to drive scalable, real-time implementations

Required 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 or PyTorch
• Proficient in Python
• Strong fundamentals in data structures and algorithms
• Detail-oriented, well organized, and self-motivated with a continuous drive to learn, explore, and be challenged
• Excellent teamwork and clear communication skills

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
• Experience with state-of-the-art object detection, semantic segmentation, and image classification models
• A track record of publications in computer vision 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 medical images and medical report mining is a BIG plus

Benefits & Perks

• An outstanding start-up culture
• Transparent, collaborative work environment
• Competitive compensation
• Excellent Medical, Dental, and Vision coverage
• 401k, paid vacation, and holiday benefits