Machine Learning System Engineer- Data AML- Soaring Star Talent Program

Pangleglobal; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a Machine Learning Engineer to develop cutting-edge multimodal recommendation systems. The role requires deep knowledge in programming, distributed systems, and strong problem-solving skills. Join a diverse team that inspires creativity and drives innovation in technology. Competitive compensation and unique growth opportunities await.

Qualifications

• Got doctor degree, with priority given to candidates majoring in Computer Science, Software Engineering, or related fields.
• Deep understanding of distributed system principles, with experience in designing, developing, and maintaining large-scale distributed systems.
• Possess excellent logical analysis skills, able to abstract and decompose complex business logic effectively.

Responsibilities

• Conduct research on innovative algorithms to solve business challenges.
• Design and develop high-performance multimodal inference engines based on the PyTorch framework.
• Collaborate with teams to implement algorithm architectures.

Skills

Proficiency in C/C++/Go/Python/Java

Distributed system principles

Logical analysis skills

Good learning and communication skills

Education

Doctorate in Computer Science, Software Engineering or related fields

Tools

Kubernetes

TensorFlow

PyTorch

Job description

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

Team:

Infrastructure

Employment Type:

Regular

Job Code:

A131062

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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.

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.Engineering research directions include:Representation of multimodal samplesConstruction of high-performance multimodal inference engines based on the PyTorch frameworkDevelopment of high-performance multimodal training frameworksApplication of heterogeneous hardware in multimodal recommendation systemsAlgorithmic research directions include:1. Design of reasonable recommendation-advertising and multimodal cotraining architectures2. Sparse Mixture of Experts (Sparse MOE)3. Memory Network4. Hybrid precision techniques

Qualifications

1. Got doctor degree, with priority given to 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.
7. Bonus Qualifications:

1. Familiarity with Kubernetes architecture and extensive experience in cloud-native system development;2. Experience with at least one mainstream machine learning framework (e.g., TensorFlow, PyTorch, MXNet);3. Familiarity with Django, Flask, or related technologies, with backend development experience;4. Experience in one or more of the following areas:- AI Infrastructure- HW/SW Co-Design- High-Performance Computing- ML Hardware Architecture (GPU, accelerators, networking)- Machine Learning Frameworks- ML for Systems- Distributed Storage5. Experience in large-scale cloud computing platforms or private cloud product architecture development.

Job Information

About Us

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.