Backend Engineer - Applied Machine Learning Platform

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

Job summary

A global technology company in Singapore is seeking a Machine Learning Platform Engineer to develop and maintain its machine learning platform. The ideal candidate has at least 5 years of software engineering experience, proficiency in programming languages like Python or Java, and a strong understanding of cloud and distributed computing technologies. This role offers opportunities for career growth and innovative challenges in a fast-paced environment.

Benefits

Career growth opportunity

Paid leave

Meal allowance

Qualifications

• At least 5 years of relevant experience in software engineering.
• Proficient in common programming languages.
• Familiar with large-scale data processing tools.

Responsibilities

• Design, develop, and maintain machine learning platform functions.
• Build scalable data processing and computing processes.
• Collaborate with data scientists and engineers for tool support.
• Ensure smooth platform integration with other systems.
• Monitor operations and troubleshoot platform issues.
• Track emerging technologies for platform improvements.

Skills

Software engineering skills

Programming languages (Python, Java, C++)

Understanding of distributed computing

Cloud computing and containerization

Problem-solving skills

Education

Bachelor's degree in computer science or related field

Tools

Hadoop

Spark

AWS

Docker

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.

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

• Career growth opportunity
• Paid leave
• Flat organization
• Meal allowance

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

About The Team

The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training scheduling, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommended advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

What you'll do

• Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, and model deployment.
• Build efficient, scalable data processing and computing processes to ensure platform stability and performance.
• Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.
• Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.
• Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform‑related issues.
• Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Qualifications

Minimum Qualifications

• Bachelor's or above degree in computer science, software engineering, or a related field with at least 5 years of relevant experience
• Possess solid software engineering skills and be proficient in developing using common programming languages (such as Python, Java, or C++).
• In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).
• Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.
• Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges. Strong analytical and problem‑solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualification

A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.