Machine Learning Engineer Intern (Global Payment) - 2026 Start (BS/MS)

Descripción del puesto:

About Global Payment 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. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. 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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Successful candidates must be able to commit to either of the following Internships - From January to June (onboard by 12 Jan 2026) - From May to August (onboard by 11 May 2026) Candidates who pass resume screening will be invited to participate in ByteDance's technical online assessment. Responsibilities - Design and develop machine learning algorithms to combat financial compliance risks and identify potential compliance issues, uncover potential emerging risks. - Focus on live streaming, e-commerce, and other business scenarios, exploring new paradigms for financial security in internet-based contexts. - Stay up-to-date with the latest advancements in AI, Generative AI, LLM, and VLM. Improve compliance operation review efficiency - Explore the application and implementation of cutting-edge research such as large language models, graph neural networks, and multimodal techniques in financial risk scenarios. - Work with datasets for image processing, text analysis, and multimodal model training

Requerimientos del candidato/a:

Minimum Qualifications: - Currently pursuing a Bachelor or Master degree in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; - Experienced in AI modeling, familiar with at least one framework of TensorFlow / PyTorch / MXNet; - Has good learning and communication skills, a strong sense of curiosity and responsibility, a spirit of exploration, and self-motivation. Preferred Qualifications: - Published relevant papers in high-level international conferences and academic journals (including but not limited to CVPR, ICCV, ECCV, NIPS, ICML, AAAI, TPAMI, IJCV, etc.), or won awards in high-level competitions - Relevant internship experience with hands on exposure to the tech stack - Interested in payment industry 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 apac-earlycareers@bytedance.com