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Prepare coding and ML basics, plus how models support user growth and e-commerce marketing. Be ready to discuss past projects with metrics, trade-offs, and production constraints.
Strong fit if you want graduate-level ML work tied to e-commerce growth and intelligent marketing at ByteDance, and you are open to on-site work in Singapore.
As a Machine Learning Engineer Graduate focused on global e-commerce, user growth, and intelligent marketing at ByteDance in Singapore, a typical day centers on learning production ML patterns for ranking, personalization, and growth experiments. Expect to ship small model or feature improvements with mentors, review metrics for acquisition and engagement funnels, debug data pipelines, and present findings so marketing and product teams can act on them.
Prioritize solid Python, ML fundamentals, experimentation design, and clear written communication. Domain depth in recommendation or marketing attribution helps as you grow beyond the graduate stage.
No. The listing is for Singapore with remote set to off-site not available.
The title points to global e-commerce, user growth, and intelligent marketing—applied ML that supports acquisition, engagement, and marketing intelligence.
Start with the company site at bytedance.com and the overview on Wikipedia.
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.
MACHINE LEARNING ENGINEER GRADUATE (GLOBAL E-COMMERCE, USER GROWTH & INTELLIGENT MARKETING)ByteDanceSingapore About the Role Join our team at ByteDance as a Machine Learning Engineer Graduate and contribute to transforming e-commerce through innovative algorithms and big data solutions. You will play a key role in enhancing user experiences by enabling product discovery and acquisition, utilizing advanced recommendation systems and search technologies. Day-to-Day Responsibilities Develop and implement machine learning models for e-commerce applications. Analyze large datasets to improve product recommendations and user engagement. Collaborate with cross-functional teams to integrate ML solutions into existing systems. Conduct experiments and A/B testing to validate the effectiveness of your models. Qualifications Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. Strong background in machine learning algorithms and data structures. Familiarity with Python, R, or other programming languages used for ML. Experience with big data technologies like Hadoop, Spark, or TensorFlow is a plus. Why Join ByteDance At ByteDance, you will have the opportunity to work on cutting-edge projects that impact millions of users globally. Our dynamic and collaborative environment encourages innovation and personal growth. We offer competitive compensation packages and comprehensive benefits to support your professional development. 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.
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