Algorithm Engineer - Graduate (Global Payment) - 2027 Start

岗位职责 / 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 Algorithm Growth team leads high-impact algorithmic initiatives across BNPL and Cash Loan products in Southeast Asia, driving scalable growth across diverse markets, customer segments, and financial scenarios.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

- Provide algorithmic support for the growth of financial businesses under International Payments, including Payments, Credit Purchase, Credit Loans, and Treasury/Funds.

- Apply cutting-edge algorithmic techniques - causal inference, time-series learning, graph learning, reinforcement learning, weak supervision, and operations research/optimization - across scenarios such as marketing sensitivity modeling, financial time-series forecasting, financial relational learning, fund networks, sequential marketing, and cost/channel allocation optimization. Drive business growth through technical iteration and build an industry-leading intelligent growth algorithm team and capability.

- Deploy algorithmic applications in commercialization scenarios such as marketing, recommendation, and advertising, broadening your algorithmic expertise and enhancing career competitiveness.

- Explore the integration of LLMs with marketing, recommendation, and advertising - including self-trained Transformers, generative recommendation, generative marketing, marketing agents, cross-lingual financial intent, and AI-driven automated strategy/modeling.

- Encourage algorithmic innovation, deepen a diverse and cutting-edge algorithmic tech stack, and stay at the forefront of industry developments.

- Leverage the international business environment to access global business data, accumulate hands-on experience in international AI deployment, and build your competitiveness as an internationally-minded AI professional.

任职要求 / Requirements

Minimum Qualification(s)

- Individuals who are completing or have recently completed a Master's degree in Computer Science, Machine Learning, Data Mining, or a related discipline.

- Solid grasp of data structures, machine learning, deep learning, and large models; proficiency with frameworks such as TensorFlow and PyTorch.

- Strong hands-on ability, fast learning, attentiveness to the latest technological advances, and a passion for AI.

Preferred Qualification(s)

- Solid command of one or more foundational algorithmic theories, including deep learning, causal inference, time-series learning, graph learning, reinforcement learning, weakly supervised learning, NLP, knowledge graphs, and large language models.

- Algorithmic innovation experience is a plus.

- International conference papers or competition achievements are a plus.

- Experience in algorithm applications across marketing, recommendation, advertising, search, or large models is preferred.

- Experience in financial business applications is a plus but not required.

- Prior experience with large-scale business deployment is preferred.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]