Senior Software Engineer, Personalization

Experteer Overview

You’ll develop and operate personalization services, including RAG pipelines and content-based or hybrid recommender systems, collaborating with product, data science, and design partners. This role offers impact by shaping how readers discover content across Dow Jones’ platforms.

• Design, build, and operate personalization services powering content discovery and user engagement
• Develop and maintain RAG pipelines integrating LLMs with structured and unstructured data sources
• Build recommendation engines using collaborative, content-based, or hybrid approaches
• Own services end-to-end: architecture, implementation, deployment, and production reliability
• Collaborate with product managers, data scientists, and analysts to translate business needs into scalable solutions
• Optimize systems for performance, latency, and scalability in high-traffic environments
• Contribute to engineering best practices, including testing, observability, and CI/CD

• 3+ years of experience building backend systems and distributed services
• Strong proficiency in Python (production-grade systems)
• Experience with RAG pipelines or LLM-based applications
• Understanding of data modeling, APIs, and microservices architectures
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments
• Familiarity with SQL and NoSQL databases
• Experience building personalized recommendation systems (ranking, candidate generation, user embeddings)
• Familiarity with ML workflows, feature engineering, and experimentation (A/B testing)

• Healthcare plans for you and family
• Extra paid time off (30 holidays/year)
• Remote work options (3 months/year or quarterly)
• Meal benefit with Pluxee
• Retirement plans with employer match
• Well-being resources and subsidies