Senior Machine Learning Engineer

Digg, a pioneering platform in community-driven content curation, is seeking a Senior Machine Learning Engineer to help reimagine their platform for the modern era. This role sits at the intersection of social media, content discovery, and advanced machine learning, offering a unique opportunity to shape the future of online community engagement.

The position requires a deep technical background in machine learning, with a focus on recommendation systems and content ranking algorithms. You'll be working on sophisticated challenges involving user behavior analysis, content discovery optimization, and the development of cutting-edge recommendation systems. The role demands both theoretical knowledge and practical implementation skills, combining mathematical expertise with production-level engineering capabilities.

As a Senior Machine Learning Engineer, you'll be responsible for designing and implementing the algorithms that power content discovery on the platform. This includes developing trending content detection systems, building and optimizing ML models for user engagement, and creating robust evaluation frameworks. You'll work with modern tools and technologies, including Python, deep learning frameworks, and large-scale data processing systems.

The ideal candidate brings at least 3 years of experience in recommendation systems or content ranking algorithms, along with an advanced degree in a relevant field. Strong mathematical foundations in statistics, linear algebra, and probability are essential, as is expertise in Python and various ML libraries. Experience with graph-based algorithms and network analysis will be particularly valuable in this role.

Digg offers a flexible, remote-friendly work environment with competitive compensation and the opportunity to work directly with leadership. The company is well-funded and committed to revolutionizing social news through a combination of community-driven content and advanced AI/ML technologies. This is an excellent opportunity for someone who wants to make a significant impact on how millions of users discover and engage with content online.