Machine Learning System Engineer Graduate (AML) - 2026 Start (PhD)

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A global tech company in Singapore seeks candidates for a research position in multimodal recommendation systems. Candidates should have a doctoral degree and proficiency in programming languages like C++, Python, or Java. Responsibilities include engaging in algorithmic research and developing high-performance systems. The company offers a dynamic work environment with opportunities for growth and innovation. Successful applicants must commit to an onboarding date by 2026.

Benefits

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

100+ million users

Industry experts

Competitive compensation

Flexible hours

Qualifications

• Holds a doctoral degree, preferably in Computer Science or related fields.
• Proficiency in programming languages such as C/C++/Go/Python/Java.
• Experience in designing and maintaining large-scale distributed systems.
• Excellent logical analysis and collaboration skills.
• Strong responsibility, good communication skills, and self-motivation.

Responsibilities

• Engage in research on multimodal recommendation systems.
• Develop high-performance multimodal inference engines.
• Design recommendation-advertising architectures.

Skills

Proficiency in programming languages (C/C++/Go/Python/Java)

Logical analysis skills

Collaborative team spirit

Strong sense of responsibility

Self-motivation

Education

Doctoral degree in Computer Science, Software Engineering, or related fields

Tools

Linux environment

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

• Yoga and fitness
• Stock options
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ mil users
• Industry experts
• Competitive compensation
• Flexible hours

Responsibilities

Team Introduction

Data AML is ByteDance's machine learning middle platform, providing training and inference systems for recommendation, advertising, CV (computer vision), speech, and NLP (natural language processing) across businesses such as Douyin, Toutiao, and Xigua Video.

AML provides powerful machine learning computing capabilities to internal business units and conducts research on general and innovative algorithms to solve key business challenges. Additionally, through Volcano Engine, it delivers core machine learning and recommendation system capabilities to external enterprise clients.

Beyond business applications, AML is also engaged in cutting-edge research in areas such as AI for Science and scientific computing.

We are looking for talented individuals to join our team in 2026. 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 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

1. Research Project Introduction: Large-scale recommendation systems are being increasingly applied to short video, text community, image and other products, and the role of modal information in recommendation systems has become more prominent. ByteDance's practice has found that modal information can serve as a generalization feature to support business scenarios such as recommendation, and the research on end-to-end ultra-large-scale multimodal recommendation systems has enormous potential. It is expected to further explore directions such as multimodal cotraining, 7B/13B large-scale parameter models, and longer sequence end-to-end based on algorithm-engineering CoDesign.
2. Engineering research directions include:
   • Representation of multimodal samples
   • Construction of high-performance multimodal inference engines based on the PyTorch framework
   • Development of high-performance multimodal training frameworks
   • Application of heterogeneous hardware in multimodal recommendation systems
3. Algorithmic research directions include:
   1. Design of reasonable recommendation-advertising and multimodal cotraining architectures
   2. Sparse Mixture of Experts (Sparse MOE)
   3. Memory Network
   4. Hybrid precision techniques

Qualifications

Minimum Qualifications:

1. Holds a doctoral degree, with preference for candidates majoring in Computer Science, Software Engineering, or related fields.
2. Proficiency in 1 or more programming languages such as C/C++/Go/Python/Java in a Linux environment;
3. Deep understanding of distributed system principles, with experience in designing, developing, and maintaining large-scale distributed systems;
4. Possess excellent logical analysis skills, able to abstract and decompose complex business logic effectively, with a collaborative team spirit;
5. Strong sense of responsibility, with good learning ability, communication skills, and self-motivation;
6. Good habits in technical documentation, including timely writing and updating of work processes and technical docs as required.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at [e-mail]