Algorithm Engineer Intern: ML for Financial Compliance

Bytedance; Singapore; On-site; SGD 13,000 - 27,000; Full time

Job summary

ByteDance invites interns to design and develop ML algorithms tackling financial compliance risks across live streaming and e-commerce contexts. You will explore AI advances such as LLMs, generative AI, and multimodal methods while handling image, text, and multimodal data.

You will work under guidance on datasets and model training, with a focus on practical security applications in internet platforms, and contribute to cutting-edge research in a fast-moving tech environment.

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.

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.

Skills

AI modeling

TensorFlow

PyTorch

MXNet

Learning & communication

Curiosity & self-motivation

Education

Bachelor or Master in computer science / related

Data science related disciplines

Tools

MXNet

Job description

ByteDance invites interns to design and develop ML algorithms tackling financial compliance risks across live streaming and e-commerce contexts. You will explore AI advances such as LLMs, generative AI, and multimodal methods while handling image, text, and multimodal data.

You will work under guidance on datasets and model training, with a focus on practical security applications in internet platforms, and contribute to cutting-edge research in a fast-moving tech environment.