Machine Learning Engineer Intern (Global Payment) - 2026 Start (PhD)

Descrizione del lavoro:

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. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). 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

Requisiti del candidato:

Minimum Qualifications: - Currently pursuing a PhD 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