Applied Machine Learning Engineer - Media Search and Recommendation

Description & Requirements

The Search and Personalization team owns the core discovery experiences on Bloomberg.com and the Bloomberg mobile app. We are responsible for how users search for, discover, and engage with content across a global audience, with a strong focus on personalization and recommendations.

What's In It For You

As a senior engineer on the Search and Personalization team, you will play a key role in expanding Bloomberg Media’s investment in personalization. You’ll work closely with product managers, data scientists, and machine learning engineers to design and build systems that power personalized discovery experiences for millions of users. You’ll have ownership over impactful projects, from shaping technical direction to delivering production systems.

Requirements

• 5+ years of industry experience in an Object Oriented Programming language, preferably Python or Java
• 5+ years of industry experience working with large data sets, performing machine learning model experimentation, implementation and deployment
• A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience
• Exposure building and developing a content recommendation system, focusing on recommendation algorithms and machine learning capabilities
• Familiarity building user behavioral models to predict users likelihood to perform high value actions like propensity to subscribe or churn
• Experience with end-to-end machine learning projects, including data analysis, feature engineering, model selection, hyper-parameter tuning, model deployment and ongoing performance monitoring
• Hands-on expertise with big data systems and distributed data processing technologies such as Spark
• Proven track record building and maintaining data pipelines that power customer-facing product features
• Demonstrated leadership delivering machine learning projects from inception through delivery
• Practical expertise with public cloud platforms such as AWS
• Proven ability to operate and evolve web-scale distributed systems in production

Benefits

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus