Backend Engineer - Applied Machine Learning Engine (Efficiency Tool)

About The Team

The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

In the team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of capacity decision-making. You ensure that the very centric machine learning services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines.

Responsibilities

• Responsible for building and evolving Lagrange - the central console platform that supports AI-related engineering workflows across the organization - Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. - Work on problems with real technical depth and long-term impact: platform architecture, engineering productivity, system scalability, operational intelligence, and the practical integration of AI into engineering and operations workflows. - Create the infrastructure and platform capabilities that make large-scale AI development more efficient, reliable, and intelligent