Machine Learning Expert, Risk Control - Global E-Commerce

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

The E-Commerce Risk Control (ECRC) team is missioned: - To protect our E-Commerce users, including and beyond buyer, seller, creator;- By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;- Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.The ECRC team works to minimize the damage of inauthentic behaviors on our E-Commerce platforms, covering multiple classical and novel community and business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

1. Advance the foundational capabilities of large language models in understanding structured data and multimodal data, including graphs and text. Explore foundation models tailored to the risk management domain and develop Agentic solutions to automate and enhance risk control workflows. Drive the application of advanced LLM reasoning capabilities across merchant operations, user risk management, platform safety, and other business scenarios.
2. Lead the development of risk-focused foundation models for platforms including Douyin E-commerce, TikTok Shop, and Tokopedia. Address the limitations of current SOTA models in understanding highly adversarial risk content and detecting AIGC-generated content.
3. Develop autonomous, Agent-based adversarial solutions to improve risk detection efficiency and reduce operational costs. Tackle challenges such as the large volumes of data and complex decision rules involved in risk assessment, while developing solutions for cross-modal long-context information extraction, instruction following under complex compliance requirements, runtime model auditing, and autonomous model evolution.
4. Stay current with the latest advances in the field and explore the integration of LLMs with traditional machine learning techniques for practical applications in risk management.

Qualifications

Minimum Qualifications

1. Master's degree or above with at least 5 years of relevant industry experience. 2. Strong foundations in machine learning, with an in-depth understanding of content understanding and generation technologies, including deep learning, large language models, multimodal models, and generative models. Solid mathematical skills, strong self-learning ability, and hands-on experience applying these technologies to real-world risk management scenarios are required.3. Strong programming skills and proficiency in relevant machine learning and engineering frameworks.Experience with multimodal large language models is required. Hands-on experience deploying Agentic systems in production environments is required.

Preferred Qualifications

1. Experience in developing risk control algorithms for internet platforms and managing mature technical teams is a strong plus.2. Publications at leading computer science conferences or journals—such as NeurIPS, ICML, CVPR, ICCV, ECCV, IJCAI, AAAI, KDD, SIGIR, WWW, ACL, IEEE TPAMI, or IJCV—or strong performance in relevant technical competitions are preferred.