Machine Learning Engineer

Responsibilities

• Design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use at scale
• Improve the accuracy, runtime, scalability and reliability of machine intelligence algorithms and software
• Develop and implement machine intelligence platform APIs for multiple use-cases
• Drive architecture of platform and application capabilities embedding machine intelligence
• Collaborate with machine learning scientists and data scientists to develop prototyped solutions and translate leading-edge ideas into production-ready systems
• Work with data engineers to ensure seamless interactions between data pipelines and machine learning pipelines in development and production environments

Requirements

• BS, MS or PhD in Computer Science or related technical field
• 2+ years of experience with machine learning and data science in academia or industry
• Strong understanding of the foundational concepts of machine learning and artificial intelligence
• Strong proficiency in Python (preferred), Java or C/C++
• Experience in cloud computing, parallel/distributed computing and workflow management
• Excellent communication skills