Software Engineer Intern (Recommendation Infra, Performance Efficiency) - 2027 Summer

What you'll do

• Design and optimize recommendation serving systems for efficiency, reliability, scalability, and serving quality.
• Find and resolve performance bottlenecks and improve infrastructure and compute cost efficiency.
• Build automation workflows and pipelines for recommendation-system data processing and development.

What they ask for

• Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
• Strong programming skills in at least one systems programming language, such as C++, C, Go, or Java.
• Experience building scalable backend, distributed, infrastructure, or high-performance online systems.
• Solid understanding of data structures, algorithms, operating systems, networking, and distributed system fundamentals; experience with performance analysis, debugging, reliability improvement, or large-scale service optimization.

Nice to have

• Experience with recommendation, search, advertising, machine learning, or large-scale online serving infrastructure; or optimizing high-throughput, low-latency C++ services.
• Experience with profiling, performance tuning, large-scale data processing systems, or AI-agent/LLM-based automation workflows.

Tools

C++, C, Go, Java, Flink, Spark, Kafka, LLMs

AI focus

The team is developing AI-native and agentic workflows, including closed-loop systems that observe, diagnose, plan, execute, verify, and improve recommendation infrastructure. Related preferred experience includes automation using AI agents and LLMs.