The Applied Machine Learning Engineer will join Bloomberg Media's Search and Personalization team, focusing on enhancing user discovery experiences through personalization and recommendations. This role involves collaborating with product managers, data scientists, and other engineers to design and build systems that serve millions of users. The engineer will have ownership over impactful projects, influencing personalization models and working on backend, data, and potentially frontend tasks. The position is critical for driving Bloomberg Media's growth and ensuring high-quality user experiences.

• 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 and 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.

• Lead the design and delivery of personalization and recommendation systems for Bloomberg.com and mobile platforms.
• Build and maintain data pipelines that support personalization, experimentation, and model-driven product experiences.
• Design, develop, and evolve backend services and APIs that deliver personalized content at scale with low latency.
• Partner closely with the data science team to productionize models and enable rapid experimentation.
• Collaborate across the stack with frontend engineers to deliver cohesive and high-quality user experiences.
• Make architectural decisions, drive technical discussions, and help set technical direction for the personalization platform.
• Mentor other engineers and raise the overall technical bar of the team.

• Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.