
Building AI-Powered Solutions as a Machine Learning Engineer
2 days ago
We are seeking a highly skilled and motivated Machine Learning Engineer Graduate to join our Trust and Safety Engineering team.
This role will provide an opportunity to work with cross-functional teams, collaborate with engineers, and develop scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining.
As a Machine Learning Engineer Graduate, you will be responsible for improving trust and safety strategies through model iteration, working with cross-functional teams to protect TikTok globally, and contributing to the development of cutting-edge technologies.
Key Responsibilities
- Collaborate with engineers to build trust and safety systems for TikTok
- Develop scalable classifiers, tools, models, and algorithms using machine learning, computer vision, and data mining
- Improve trust and safety strategies through model iteration
- Work with cross-functional teams to protect TikTok globally
Requirements
- Currently pursuing or recently completed a bachelor's degree in Computer Science or a related engineering field (within 1 year)
- Solid knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision
- Understanding of data structures and algorithms
- Strong communication and teamwork skills
Preferred Qualifications
- Passion for solving challenging problems with techniques in machine learning, pattern recognition, NLP, data mining, or computer vision
- Previous experience in relevant applications
- Currently pursuing a master's or PhD in Computer Science or related field
Why Choose Us?
TikTok values diversity and inclusivity, committed to creating an environment that reflects the communities we serve. We foster an environment of innovation, growth, and impact.
Our products are designed to help imaginations thrive. Join us to create and grow together.
What We Offer
- Opportunities to kickstart your career, pursue bold ideas, and explore growth opportunities
- Unparalleled opportunities to work with cutting-edge technologies and contribute to the development of innovative solutions
- A dynamic and collaborative work environment, fostering growth and impact
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