Algorithm Engineer

2 days ago

Singapore TIKTOK PTE. LTD. Full time
Roles & Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.


TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.


Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.


About the team

The Platform Governance team is focused to support the businesses by building a healthy 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 TikTok 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.

Qualifications

- At least 5 years 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.


TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.


Tell employers what skills you have

Sustainability
Combat
Team Spirit
Scripting
Computer Vision
Data Mining
Communication Skills
Statistics
Data Science
Linux

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