Distributed ML Backend Engineer

Bytedance; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

ByteDance, founded in 2012, invites graduates to join the Applied Machine Learning (AML) team. You will contribute to a massively distributed recommendation system, sharpening skills in coding, performance analysis, and large-system operation.

You’ll help ensure high availability and automate pipelines while engaging in hardware/capacity decision-making. Onboarding by end-2027 is expected, with opportunities to pursue bold ideas and grow rapidly.

Qualifications

• Bachelor's or Master's degree in computing or a related discipline.
• Proficient in at least one of Python/Golang/C++, with solid coding skills and good coding practices.
• Proficient in using common storage and middleware systems such as MySQL, Redis, and MQ, with basic troubleshooting and performance tuning capabilities.
• Familiar with Python frameworks and libraries such as Flask, Celery, Django, Tornado, NumPy; or familiar with common Go open-source frameworks such as Beego, Gin, Gorm, Sarama, and gRPC-Go.
• Understand and have experience with time-series/data components such as OpenTSDB, Prometheus, InfluxDB, and OLAP databases like ClickHouse.
• Strong sense of responsibility, good learning ability, communication skills, and self-motivation, with solid team collaboration.
• Good documentation habits, able to write and update workflow and technical documents in a timely manner as required.

Responsibilities

• Responsible for building and evolving Lagrange - the central console platform that supports AI-related engineering workflows across the organization.
• Analyse 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

Skills

Python

Golang

C++

MySQL

Redis

MQ

Flask

Django

NumPy

Gorm

Gin

Sarama

gRPC-Go

OpenTSDB

Prometheus

InfluxDB

ClickHouse

Education

Bachelor's or Master's degree in computing or related field

Tools

MySQL

Redis

Beego

Gin

Gorm

Sarama

gRPC-Go

Flask

Celery

Job description

ByteDance, founded in 2012, invites graduates to join the Applied Machine Learning (AML) team. You will contribute to a massively distributed recommendation system, sharpening skills in coding, performance analysis, and large-system operation.

You’ll help ensure high availability and automate pipelines while engaging in hardware/capacity decision-making. Onboarding by end-2027 is expected, with opportunities to pursue bold ideas and grow rapidly.