Applied Machine Learning Orchestration Graduate (AML) - 2027 Start

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Benefits offered by this job

Meals provided

Job summary

BYTEDANCE PTE. LTD. invites recent graduates to join Data AML, ByteDance’s machine learning platform supporting recommendation/advertising, CV, speech, and NLP tasks for TikTok, Douyin and others.

You will work on distributed deployment, training/inference tasks, and cross-functional collaboration across global teams. Successful candidates should be able to commit to onboarding by end of 2027, with opportunities to pursue bold ideas and impactful breakthroughs in a rapidly growing tech company.

Qualifications

• Bachelor's or Master's degree in computing or related field.
• Proficient in at least one programming language (Go/Python preferred) in Linux; good coding practices.
• Familiar with distributed system principles and open-source distributed scheduling frameworks.
• Strong sense of responsibility with good learning, communication and self-motivation.

Responsibilities

• Distributed orchestration & scheduling for services/model training and inference tasks.
• Optimize resource allocation and global coordination across CPU/GPU/hardware.
• Contribute to training-related requirements and framework efficiency.
• Support offline-to-online synchronization and data consistency for timely model updates.

Skills

Go

Python

Linux

Distributed systems

Communication

Self-motivated

Education

Bachelor's/Master's in computing

Tools

Ray

TFX

Kubeflow

Job description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

• Positive team atmosphere
• Career growth opportunity
• Flat organization
• Meals provided

Responsibilities

Team Introduction

Data AML is ByteDance’s machine learning platform, providing recommendation/advertising/CV (Computer Vision)/speech/NLP (Natural Language Processing) training and inference systems for Bytedance businesses like Tiktok and Douyin. It empowers business partners with enormous ML computing power and ground-breaking algorithmic innovation. Additionally, it provides core capabilities of machine learning/recommendation systems to external enterprise customers via Volcano Engine/BytePlus.

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

Responsibilities

• Distributed Orchestration & Scheduling by providing support on distributed deployment of services/model training and inference tasks)
• Optimize allocation rate and resource operation efficiency globally and coordinate capacity of various heterogeneous resources (CPU/GPU/heterogeneous hardware/training data)
• Participate in development of training-related requirements (incremental training and API for online learning) and enhance framework efficiency
• Participate in offline-to-online synchronization, data consistency, and model-update timeliness optimization and handle traffic scheduling for heterogeneous resources

Qualifications

Minimum Qualifications:

• Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
• Proficient in at least one programming language (Go/Python preferred) in Linux; good programming habits and coding skills
• Familiar with distributed system principles and open-source distributed scheduling frameworks
• Strong sense of responsibility; good learning, communication skills, and self-motivated; quick to respond and act.

Preferred Qualifications:

• Experience in machine learning system practice
• Experience in open-source ML orchestration frameworks (e.g. Ray/TFX/Kubeflow)