Machine Learning Engineer (Compliance) - Global Payment - Singapore - Global Payment

ByteDance; Singapore; Remote; SGD 120,000 - 190,000; Full time

Job summary

ByteDance is seeking a highly capable ML/Risk specialist to join the Global Payments Compliance team. You will design AI-powered controls for cross-border payments, build AML solutions with LLMs and graph analytics, and deploy production models with focus on accuracy and explainability.

You will collaborate with compliance, investigation, product, engineering and legal teams to ensure privacy-preserving, auditable AI solutions that meet regulatory standards across TikTok platforms.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science, or related field.
• Strong foundations in data structures, algorithms, ML, and statistical modeling.
• Proficiency in Python, Java, C++, or Go.
• Hands-on experience with PyTorch or TensorFlow for model training and deployment.
• Ability to work with large-scale, noisy datasets and translate risk problems into modeling solutions.
• Strong analytical thinking, ownership, and cross-functional communication.

Responsibilities

• Develop deep understanding of business models, payment flows, and regulatory requirements; translate risks into signals and AI-driven controls.
• Build AI-native AML capabilities using LLMs, multimodal models, graph learning, and ML to detect suspicious activity.
• Develop intelligent investigation solutions including AI agents and RAG to improve triage and productivity.
• Design, train, evaluate, and deploy production-grade models with focus on precision, recall, explainability, and latency.
• Discover networks and anomalies from large payment graphs using graph algorithms and graph neural networks.
• Establish continuous learning loops with investigator feedback and regulatory changes.
• Continually optimize compliance strategies and model systems in a proactive manner.

Skills

Programming languages

ML frameworks

Data handling

Cross-functional comms

Education

Bachelors in CS/CE/Stats/Math/Data Science

Tools

PyTorch

TensorFlow

Spark

Flink

Ray

Kubernetes

Job description

Responsibilities

The Global Payment Tech team is the core engine powering ByteDance's global payment and financial services, spanning payment acquiring, wallets, financial products, insurance, and foreign exchange for users and merchants worldwide.

We span engineering, data, and AI, building high-concurrency, highly available systems across multi-currency, multi-market complexity, and embedding AI into risk control, credit decisioning, and operations automation.

You will grow cross-disciplinary expertise at the intersection of payments, finance, and AI.

The Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.

The Global Payments Compliance team's duty is to establish a comprehensive and strong compliance foundation with sanction screening, transaction monitoring, risk rating system to systematically enable business models, revenue growth, and protect executives from possible legal liabilities for ByteDance (e.g. TikTok Live, TikTok Shop).

Responsibilities

• Develop a deep understanding of business models, payment flows, customer behavior, and regulatory requirements; translate emerging financial-crime risks into measurable signals, red flags, and AI-driven controls.
• Build AI-native AML capabilities using LLMs, multimodal models, graph learning, and machine learning to detect suspicious transactions, accounts, and behavioral patterns.
• Develop intelligent investigation solutions - including AI agents, retrieval-augmented generation (RAG), and automated case summarization to improve alert triage, evidence collection, and investigator productivity.
• Design, train, evaluate, and deploy production-grade models with a strong focus on precision, recall, explainability, robustness, latency, and operational cost.
• Discover coordinated networks, money-laundering rings, and anomalous communities from large-scale transaction and entity graphs using graph algorithms and graph neural networks.
• Establish continuous learning and evaluation loops by incorporating investigator feedback, emerging typologies, regulatory changes, and model-monitoring results.
• Continuously optimize compliance strategies and model systems in a standardized, systematic, timely, and proactive manner.

Explore advances in AI and financial-crime prevention, rapidly validate promising approaches, and translate research into measurable business and compliance impact.

• Partner with compliance, investigation, product, engineering, and legal teams to ensure AI solutions are explainable, auditable, privacy-preserving, and compliant with applicable regulations.

Qualifications

Minimum Qualifications

• Bachelor’s degree or above in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science, or a related discipline.
• Strong foundation in data structures, algorithms, machine learning, and statistical modeling.
• Proficiency in at least one programming language, such as Python, Java, C++, or Go.
• Hands-on experience with at least one machine learning framework, such as PyTorch or TensorFlow, including model training, evaluation, deployment, and monitoring.
• Ability to work with large-scale, noisy, and highly imbalanced datasets and convert ambiguous risk problems into practical modeling solutions.
• Strong analytical thinking, ownership, and cross-functional communication skills.;

Preferred Qualifications

• Three or more years of experience in machine learning, risk control, fraud prevention, AML, trust and safety, or a related field.
• Experience building production applications with LLMs or multimodal models, including RAG, tool use, AI agents, fine-tuning, prompt engineering, and systematic evaluation.
• Experience with graph analytics, graph neural networks, anomaly detection, representation learning, or community detection.
• Familiarity with distributed data-processing and model-serving technologies, such as Spark, Flink, Ray, or Kubernetes.
• Experience designing human-in-the-loop systems and using expert feedback to continuously improve models and investigation workflows.
• Understanding of model explainability, AI safety, privacy protection, model governance, and regulatory audit requirements.
• Publications at leading conferences, meaningful open-source contributions, patents, or strong performance in relevant competitions are a plus.

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.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

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.