Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) – 2027 Start

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Prepare ML fundamentals (metrics, overfitting, class imbalance), risk/fraud case framing, and coding on data pipelines. Be ready to discuss e-commerce abuse scenarios, experiment design, and how you’d trade precision vs recall under business cost.

Fit summary

Strong fit if you want applied ML at scale in Singapore on marketplace risk, tolerate a large consumer-tech environment, and can start in 2027 as a graduate hire focused on models that protect users and sellers.

Day in the role

As a Machine Learning Engineer Graduate on ByteDance’s Global E-Commerce Risk Control track, expect to turn fraud, abuse, and trust problems into models and experiments: review signals and labels, prototype classifiers or ranking features, backtest risk rules with engineers and ops, and ship guarded online tests for marketplace integrity.

Skills to emphasize

• freeCodeCamp — Full Stack curriculum (free)
• Saylor Academy — Computer Science courses (free)
• CS50 (Harvard, via edX) (free to learn)
• Microsoft Learn — developer training paths (free to learn)

FAQ from this listing

Is this role remote?

No. The listing is for Singapore with remote set to off.

What does Risk Control mean here?

It centers on machine learning for global e-commerce integrity—detecting and reducing fraud, abuse, and related trust-and-safety harm.

When would I start?

The posting targets a 2027 graduate start on ByteDance’s Machine Learning Engineer Graduate track.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Analyze problems to develop solutions involving computer hardware and software.
• Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
• Assign or schedule tasks to meet work priorities and goals.
• Meet with managers, vendors, and others to solicit cooperation and resolve problems.
• Design computers and the software that runs them.
• Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
• Evaluate project plans and proposals to assess feasibility issues.
• Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.

O*NET source

Company facts (cached)

Website: bytedance.com

ByteDance is a Chinese internet technology company headquartered in Haidian, Beijing. Its associated variable-interest entity, ByteDance Ltd, is incorporated in the Cayman Islands.

Public cache only — not an employee review.

Role overview (listing rewrite)

MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, RISK CONTROL) - 2027 STARTByteDanceSingapore The Opportunity Join ByteDance as a Machine Learning Engineer Graduate and contribute to our mission of inspiring creativity and enriching lives globally. This role focuses on developing domain-specific machine learning models, LLMs, and agents aimed at decoding and preventing complex cross-domain fraudulent activities. Responsibilities Analyze massive business and security data to identify abnormal user behavior patterns Develop and implement advanced machine learning algorithms for fraud detection and prevention Create and maintain models that can adapt to evolving fraudulent tactics Collaborate with cross-functional teams to integrate ML solutions into existing systems Conduct thorough data analysis to uncover insights and trends in user behavior What You Bring A recent graduate or early-career professional with a strong background in machine learning, computer science, statistics, or related fields Familiarity with Python, R, or other programming languages commonly used in data analysis and machine learning Experience working with large datasets and performing complex data manipulations A passion for solving challenging problems through innovative technical solutions Strong analytical skills and the ability to work independently as well as collaboratively within a team Working at ByteDance At ByteDance, you will be part of a dynamic and global team that values creativity and innovation. Our diverse environment fosters growth and learning opportunities for all employees. You’ll have the chance to work on cutting-edge projects that impact millions of users worldwide. Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

Full job on Get A Job.AI

Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Singapore, hybrid, or fully remote?