Machine Learning Engineer, Computer Vision - Strategic Data Solutions

• Translate business needs into technical solutions. Work with program managers, data scientists, and business partners to incorporate analytic solutions into business processes • Explore tabular and image datasets to identify patterns of fraudulent behavior • Move quickly to combat adversarial attacks by developing and deploying updated models • Analyze data and communicate findings to audiences with various technical backgrounds (e.g., engineers, program managers, and executives) • Coordinate with engineers and system administrators to deploy analytics to a real-time decisioning platform • Identify and implement new data science tools to complement the existing capabilities of the team Minimum Qualifications M.S. or Ph.D. in Computer Science, Machine Learning, Engineering, or other technical field with experience in computer vision or machine learning or equivalent 2 years of proven experience Practical experience and theoretical understanding of computer vision methods (e.g., local feature matching) or deep learning models (e.g., CNN) Ability to code and debug in a general programming language such as Python or Java Ability to extract business insights from data and identify the stories behind the patterns Ability to navigate complex systems spanning toolchains and teams Preferred Qualifications Ability to use a querying language such as SQL to extract insights from data Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions Team-oriented skills and values to facilitate effective collaboration with business and technical partners