Our Machine Learning Platform sits at the heart of an ecosystem with over 200 million pieces of content, more than 200 million unique visitors each month, and empowering 2 million paying subscribers across the globe. With content available in over 20 languages, our platform presents unparalleled opportunities and challenges for AI innovation. This curated developer environment is designed not just to enable, but to accelerate AI projects, fueling an extraordinary Scribd user experience. Our platform supports a wide array of machine learning applications, from sophisticated classifications and personalized recommendations to cutting‑edge Large Language Models (LLMs). The ML Platform team is tasked with navigating the complexities of deploying state‑of‑the‑art ML solutions rapidly and cost efficiently. By constructing, delivering, and maintaining a robust platform, we ensure the seamless flow of the entire machine learning workflow — from initial experimentation to final production deployment.
The team is remote-first and is spread across time zones across North America and Europe. We use tools that emphasize asynchronous communication but also pair program or use online meetings when those are the best approaches. Regardless of the medium, excellent communication skills are a must. We operate with autonomy (developers closest to the code will make the most well-informed decisions) while holding ourselves and each other accountable.
About You
You are an experienced engineer looking for a new challenge and embrace learning recent things. You have a passion for DevOps and Machine Learning. Solving challenging problems excites you and you don’t mind diving deep but you also know when to reach out to colleagues for help. You are strong at communicating and listening to customers to understand their needs.
About the Role
- Scribd is searching for an Engineer to join the Machine Learning Platform team,