Responsibilities
- Optimize NLP, computer vision, and multimodal algorithms for e-commerce content understanding.
- Develop recognition and control algorithms for risky, low-quality, or stylistically problematic products, videos, livestreams, sellers, and anchors.
- Build anti-fraud models to identify illegal behaviors and events in e-commerce.
- Support production of scalable and optimized AI and machine-learning models.
- Build algorithms for extracting, transforming, and loading large volumes of real-time, unstructured data for AI/ML deployment.
- Run experiments to evaluate deployed-model performance and resolve bugs.
- Apply statistics, scripting, and programming languages while working with software platforms used to deploy models.
Requirements
- At least 1 year of experience in a related field.
- Bachelor's degree or above in computer science or a related major.
- Strong theoretical knowledge and practical experience in machine learning and deep learning.
- Familiarity with one or two areas among data mining, NLP, computer vision, or graph algorithms.
- Proficiency in Python, Go, or C++ and development capability in a Linux environment.
- Strong analysis, problem-solving, teamwork, and communication skills.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.