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.
Strong match if you want graduate-level ML work on fraud and AI pipelines inside ByteDance’s Singapore office, and are comfortable with regulated consumer-AI headlines as company context—not remote.
As a graduate ML engineer on real-time fraud and AI pipelines at ByteDance in Singapore, expect to ship and monitor low-latency models, feature pipelines, and evaluation loops that flag abusive or fraudulent activity; pair with platform and risk teams; and iterate on data quality, latency, and false-positive trade-offs under production SLAs.
Role-shaped focus: streaming features, online inference, fraud/risk ML, evaluation, and production monitoring. No certification resources or costs were supplied in CERTS.
No. The listing marks remote as 0 and places the job in Singapore.
It is a Chinese internet technology company (founded 2016 per listing facts); see Wikipedia for the public overview.
No salary figures, star ratings, or Glassdoor/Indeed reviews were in the provided DATA.
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.
Graduate ML Engineer: Real-Time Fraud & AI Pipelines | ByteDance | Singapore What This Role Involves We are seeking graduates and early-career engineers to develop domain-specific machine learning (ML) models and agents for fraud prevention across our global platform. You will analyze large-scale data to detect abnormal user behavior and build real-time prevention pipelines. Your work will involve collaborating with a cross-functional team to refine models, test their effectiveness, and deploy solutions that protect our ecommerce ecosystem. What You'll Do Analyze large-scale data to identify patterns of abnormal user behavior Develop real-time fraud prevention pipelines Collaborate with cross-functional teams to refine ML models Test the effectiveness of developed solutions Deploy and maintain solutions that protect our ecommerce platform What You Bring We are looking for candidates who have a strong background in machine learning, data analysis, and programming. A bachelor's degree or equivalent experience in computer science, mathematics, or related fields is required. Experience with Python, R, or similar languages is essential, as well as familiarity with ML frameworks such as TensorFlow or PyTorch. Strong problem-solving skills and the ability to work effectively in a team environment are also critical. Working at ByteDance At ByteDance, you will have the opportunity to work on cutting-edge projects that impact our global platform. Our dynamic and collaborative environment encourages innovation and personal growth. We offer competitive compensation packages and a supportive work culture. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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