Senior Software Engineer

Yahoo is a global media and tech company that connects people to their passions. They are seeking a Senior Software Engineer to improve search quality and evolve foundational systems through modern machine learning and AI, enhancing user experiences across Yahoo Search.

Responsibilities:

• Partner closely with data scientists and ML engineers to productionize machine learning models, transforming research prototypes into scalable, reliable backend services
• Design, build, and operate high-throughput, low-latency APIs that power Guided Search experiences at large query-per-second (QPS) scale
• Own the end-to-end serving lifecycle for ML-powered systems, including model integration, feature retrieval, online inference, rollout, monitoring, and iteration
• Build and maintain robust data pipelines for training, validation, evaluation, and online serving, ensuring data quality, consistency, and freshness
• Define and uphold production-readiness standards, including scalability, reliability, observability, and fault tolerance
• Optimize systems for performance, cost efficiency, and operational excellence in a distributed, cloud-based environment
• Collaborate cross-functionally with product, infrastructure, and platform teams to translate product requirements into backend architectures that can evolve over time
• Instrument services with meaningful metrics, logging, and alerting to support experimentation, A/B testing, and continuous improvement
• Contribute to technical design reviews, documentation, and engineering best practices, raising the overall technical bar of the team

Requirements:

• 4+ years of professional experience building large-scale, highly scalable backend systems
• Strong programming skills in C++ and Python, with experience writing production-quality code
• Experience designing and implementing backend APIs and services, including web or service-oriented architectures
• Hands-on experience with data pipelines and large-scale data processing, using technologies such as PySpark, Spark, or similar frameworks
• Experience integrating and productionizing machine learning models within backend systems
• Experience developing, deploying, and operating services in AWS environments
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience