Join Scribd's ML Content Understanding team as a Software Engineer II. This role focuses on backend development, tackling complex data challenges while enhancing metadata processing systems at scale.
As a key contributor, you'll design, build, and optimize distributed systems for content metadata extraction and enrichment. Collaborating with cross-functional partners, you will enhance processes that support billions of images and documents. Your expertise in machine learning and data engineering will drive innovative solutions that enrich user experiences worldwide.
Key Responsibilities:
• Design scalable systems for metadata extraction and enrichment
• Leverage LLMs for summarization and classification
• Collaborate effectively with ML engineers and product teams
• Optimize existing systems for performance and reliability
• Ensure data quality through automated validation
Requirements:
• 4+ years in software engineering
• Proficient in Python, Scala, or Ruby
• Experience with distributed systems and AWS services
• Familiarity with Terraform for infrastructure management
• Bachelor's degree in Computer Science or equivalent
Bring your skills to Scribd and impact the future of content accessibility.
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