Machine Learning Engineer at Arterys (San Francisco, CA)

Desired Skills and Experience

• 3+ years of production software experience in industry
• Experience with unit testing, continuous integration and design documentation, particularly with Python
• Focus on efficient, well tested, easily maintainable code
• Experience building scalable and distributed cloud infrastructure with Kubernetes or similar technologies
• Experience with SQL and SQL-backed database architecture (SQLite, MySQL, etc.); NoSQL database experience (e.g., MongoDB) is also helpful
• Well-versed in Linux systems administration and architecture
• B.S. or higher in computer science or a related engineering discipline
• Practical knowledge of front-end application development
• Experience with medical data, particularly the DICOM standard
• Knowledge of machine learning and deep learning, particularly convolutional neural networks and/or recurrent neural networks for natural language processing
• Experience working with modern deep learning packages, particularly Keras and/or Tensorflow
• Experience with handling and processing large datasets (1 TB and larger)