Machine Learning Engineer

Scribd is seeking a Machine Learning Engineer II to join their innovative team focused on building and optimizing high-impact ML systems. The role is part of their Machine Learning team, which powers personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand platforms.

The position offers an exciting opportunity to work with cutting-edge technologies and frameworks, including Python, Golang, AWS Sagemaker, and various ML tools. The team utilizes the Orion ML Platform, which provides core ML infrastructure including feature stores, model registry, and embedding-based retrieval systems.

As a Machine Learning Engineer, you'll be responsible for designing and implementing ML pipelines, improving platform capabilities, and collaborating with product teams to integrate ML models into user-facing features. The role requires strong technical expertise with 3+ years of experience and offers competitive compensation ranging from $103,500 to $196,000, depending on location and experience.

The company culture emphasizes flexibility through their Scribd Flex program, which allows employees to choose their work style while maintaining important in-person connections. They value GRIT (Goals, Results, Innovation, Team) and offer comprehensive benefits including full healthcare coverage, parental leave, and professional development opportunities.

Scribd's mission is to spark human curiosity by creating a world of stories and knowledge through their three products. The role offers the chance to work on meaningful projects that directly impact millions of users while being part of a collaborative and inclusive workplace that supports professional growth and innovation.

The position is available across multiple locations in the US, Canada, and Mexico, offering geographical flexibility while maintaining the company's hybrid work culture. This is an excellent opportunity for a skilled ML engineer looking to make a significant impact in a company that values both technical excellence and employee well-being.