Algorithm Engineer (Platform Governance), 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.

About the team

The Platform Governance team is focused to support the businesses by building the E-commerce ecosystem and improve platform service capabilities with the most advanced AI technology. The team use the most advanced AI technology to combat various risks/violations in Bytedance's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

Responsibilties:

- Optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of e-Commerce.

- Responsible for the recognition of the risk/low quality/style issue in the e-Commerce scenario (including product, shopping video, shopping livestream etc) and applying them to review system or recommendation traffic control.

- Responsible for recognition and control of the risky seller and low-quality e-Commerce anchors via user profile.

- Responsible for building the anti-fraud model to recognize illegal behaviors and events in the e-Commerce scenario.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Minimum Qualifications:

- At least 1 year of experience in related field.

- Computer Science or related major, bachelor's degree or above.

- Master machine learning/deep learning theoretical knowledge, and have rich practical experience.

- Familiar with 1-2 fields in Data Mining, NLP, Computer Vision or Graph Algorithm.

- Possess Linux environment R&D capabilities, proficient in Python/Go/C++.

- Excellent analysis and problem-solving skills, passion for challenging problems.

- Have a good team spirit and strong communication skills.

Preferred Qualifications:

- Received best paper or equivalent awards in the aforementioned conferences.

- Winner of international academic competitions.