
Senior Machine Learning Systems Engineer, Ranking Platform
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Create and implement the next generation of machine learning ranking systems that drive personalized feeds, search functionalities, and other products at Reddit.
• Develop and design machine learning and Generative AI systems in scalable cloud-based production environments.
• Collaborate closely with Product, Infrastructure, and Engineering teams to convert requirements into scalable machine learning solutions.
• Write efficient, scalable, and maintainable code that facilitates quick and safe iterations.
• Advocate for and implement engineering processes and best practices.
• Elevate engineering standards within the team through code reviews, mentorship, and knowledge sharing.
• Over 5 years of experience as a software engineer focused on developing large-scale distributed systems and data-intensive machine learning systems, utilizing Go, Python, C++, or any object-oriented programming language.
• More than 5 years of experience in designing and implementing large-scale, high-performance, and reliable machine learning systems, with a preference for experience in recommendation systems.
• Proficient in developing and enhancing tools for deployment, automation, system diagnosis, ML monitoring, and more.
• Strong organizational abilities with the capacity to prioritize tasks and maintain project schedules while paying close attention to detail.
• A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Knowledgeable about software engineering best practices, including unit testing, code reviews, design, and documentation.
• Possess an entrepreneurial spirit; self-motivated, innovative, and action-oriented in fast-paced environments, enjoying the challenge of building new things even amidst uncertainty and setbacks.
• Excellent communication skills, capable of collaborating effectively in a fully remote environment and articulating complex concepts to both technical and non-technical audiences.
• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer matching.
• Global benefit programs tailored to your lifestyle, ranging from workspace flexibility to professional development and caregiving support.
• Family planning assistance.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
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