Description

You will build real-time data pipelines and implement custom ML algorithms for a digital advertising platform processing millions of requests per second, working with data scientists and engineering teams to tackle complex optimization problems.

Requirements

• Ability to break down ambiguous tasks into actionable steps
• Deep understanding of algorithm design, concurrency, and data structures
• Experience implementing probabilistic or machine learning algorithms
• Interest in designing scalable distributed systems
• High GPA from a well-respected Computer Science program

Responsibilities

• Design modular and scalable real-time data pipelines for huge datasets
• Implement custom ML algorithms in low-latency environments
• Work on microservice architectures for concurrent model training, inference, and monitoring