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Machine Learning Engineer
2 months ago
TikTok is the leading platform for short-form mobile video, inspiring creativity and bringing joy to over 1 billion users worldwide. Our mission is to empower innovation and drive growth through cutting-edge technology.
At TikTok, we value diversity, inclusivity, and creativity. Our team is passionate about harnessing the power of AI and machine learning to create a seamless user experience. We're committed to fostering a culture of collaboration, experimentation, and continuous learning.
Our recommendation team is responsible for developing and implementing state-of-the-art machine learning models and strategies to enhance user engagement, inspire creativity, and build a fair and thriving ecosystem.
- Design and develop industry-leading recommendation systems, leveraging machine learning and data science techniques.
- Collaborate with cross-functional teams to drive business growth and user adoption in key regional markets.
- Apply machine learning algorithms to optimize user experience, push notifications, and production workflows.
- Stay up-to-date with emerging trends and technologies in AI, machine learning, and data science.
We're looking for a highly skilled and motivated individual with a strong background in computer science, data science, or a related field. Key qualifications include:
- Bachelor's degree (or higher) in computer science or a related technical discipline.
- Proven experience with data structures, algorithms, and software development.
- Strong expertise in machine learning, recommendation systems, data mining, or related areas.
- Excellent communication and teamwork skills.
- Passion for staying up-to-date with emerging technologies and trends.
TikTok is committed to creating an inclusive and diverse work environment where employees are valued for their unique perspectives and skills. Our platform connects people from around the world, and our workplace reflects this global community. We're passionate about inspiring creativity and bringing joy to our users, and we're looking for like-minded individuals to join our team.