Remote Software Engineer - Machine Learning / Generative AI

Description:

• Ground News is a platform that helps users compare news sources and understand media bias, aiming to combat political polarization and media distrust.
• The Software Engineer - Machine Learning/Generative AI position is remote and based in Canada.
• The role involves building tools to help users navigate the news ecosystem and pioneering new AI applications tailored for the news landscape.
• Responsibilities include working with Data Engineers and Machine Learning engineers to integrate AI solutions, building LLM-powered applications, maintaining ML projects across the full stack, collaborating with UI/UX Designers and Product Managers, and coordinating cross-team efforts for feature creation.

Requirements:

• Candidates must have at least 2 years of experience in building production web applications, preferably in lean and agile environments.
• A strong understanding of clean code principles, SOLID design patterns, and software development best practices, including automated testing and CI/CD, is required.
• Proficiency in TypeScript, Node.js, VueJS, React.js, and Next.js is necessary for full stack expertise.
• Experience with MySQL, Express, and Node.js is required for backend skills.
• Candidates must be proficient in designing and documenting RESTful APIs for web and mobile platforms.
• Hands-on experience with Large Language Models, including prompt engineering and LLM deployment, is essential.
• Strong communication and collaboration skills are necessary to convey technical concepts to both technical and non-technical stakeholders.

Benefits:

• Working at Ground News offers an unparalleled learning experience both personally and professionally.
• The company prioritizes growth for both the business and team members, providing the freedom to work remotely.
• Employees play a key role in developing Ground News products and contribute to a mission of fostering cooperative debate and media accountability.
• Ground News promotes a harassment- and discrimination-free environment, committed to inclusivity and accessibility for all employees.