This job is for FedML (https://www.fedml.ai/) posted via Parallel. This is a full-time role.
Responsibilities
Participate in the development of machine learning platform and open source communities
Responsible for the foundational research and product development, and continuously improve the R&D efficiency
Responsible for feature development, algorithm optimization of the platform, improving user experience and usability through cutting-edge or mature technologies
Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies;
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Minimum qualifications
Bachelor’s degree or equivalent practical experience in computer science or related areas.
2 years of experience with software development in one or more programming languages (Python, Java, JavaScript, C/C++), or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Good communication and writing skills in English environment.
Preferred qualifications
Information Systems Or Computer Science Master’s Degree OR equivalent industry experience
2+ years of professional experience in Product Management
Prior experience building AI/machine learning products for both on premise and Public Cloud
Top notch written and oral communication skills, including experience presenting to executive leadership, participating in the sales cycle, and handling sensitive customer escalations
Demonstrated experience in gathering and transforming product requirements into an actionable product roadmap
Experience working and delivering product or services in an agile/lean environment
Track record of successfully building alliances with teams in a matrix environment
Experience building and delivering solution on AWS, Azure, GCP in a dynamic and automated environment