B

ByteDance

Builds content apps, business software and AI

Graduate Machine Learning - Global Payment

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, computer engineering, statistics, applied mathematics, data science, or another related discipline.
  • Experience in AI modeling and familiarity with at least one machine-learning framework: TensorFlow, PyTorch, or MXNet.
  • Good learning and communication skills, curiosity, responsibility, an exploratory mindset, and self-motivation.
  • Successful candidates must be able to commit to an onboarding date by the end of the year.

Responsibilities

  • Design and develop machine-learning algorithms to combat financial compliance risks, identify potential compliance issues, and uncover 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 advances in artificial intelligence, generative AI, large language models, and vision-language models, and improve compliance-operation review efficiency.
  • Explore applying and implementing 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.

Desired Qualifications

  • Published relevant papers in high-level international conferences or academic journals, including CVPR, ICCV, ECCV, NIPS, ICML, AAAI, TPAMI, or IJCV, or won awards in high-level competitions.
  • Relevant internship experience with hands-on exposure to the technology stack.
  • Interest in the payment industry.

About the Company

ByteDance

Builds content apps, business software and AI

ByteDance builds content and creation apps for consumers, alongside collaboration software and AI services for businesses. Its video platforms connect viewers with creators, while CapCut gives people tools to edit and publish videos. The group also develops Lark for workplace communication and shared documents, and its Seed research teams build language, image, video, and speech models used in consumer apps and sold through BytePlus cloud services. It earns money from advertising, commerce services, paid software subscriptions, and usage of its enterprise technology. ByteDance was founded in 2012 and has its operational headquarters in Beijing, China.

Company size
10,001+
Company stage
Private
Total funding
$35.1B
Headquarters
Haidian, China
Founded
2012

Recently Posted Jobs

Explore more opportunities at ByteDance

See more jobs