Algorithm Engineer (Marketing/ML)

Location: Remote-first, available in APAC, Australia, Hong Kong, Singapore, and Taiwan

Company

Binance is a global blockchain ecosystem providing cryptocurrency trading, financial, payments, institutional, education, and research products.

What you will do

• Develop and optimize algorithmic models for user behavior prediction, profiling, ROI estimation, and traffic allocation.
• Build precision marketing models for CTR/CVR prediction, LTV forecasting, and marketing channel attribution.
• Design data-driven strategies for user acquisition, retention, and repurchase across the user lifecycle.
• Track algorithm performance and improve models through A/B testing, causal inference, and attribution analysis.
• Collaborate with data, product, and operations teams to deploy algorithms in marketing systems and user growth initiatives.

Requirements

• At least 3 years of experience in a related field, with a solid foundation in algorithms and programming.
• Master’s degree or above in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related discipline.
• Proficiency in Python, Scala, or Java, and familiarity with Hadoop, Spark, or Flink.
• Strong understanding of machine learning algorithms such as LR, GBDT, and DNN, as well as marketing models including Uplift Model and Lookalike.
• Experience with TensorFlow or PyTorch, SQL/Hive, large-scale data cleaning, feature engineering, and model tuning.
• Understanding of user growth, ad placement, and e-commerce marketing scenarios, with strong independent problem-solving and collaboration skills.

Culture & Benefits

• Remote-first, work-from-home arrangement, subject to the nature of the role and team.
• Opportunity to work on projects shaping the future of finance in a user-centric global organization.
• Flat structure, autonomy, challenging projects, and a fast-paced working environment.
• Career growth and continuous learning opportunities.
• Competitive salary and company benefits.