Machine Learning Engineer – Trust & Safety
Machine Learning Engineer – Trust & Safety (multiple openings available)
Build trust and safety machine learning model and work on model iterations. Develop and build up highly-scalable classifiers, tools, predictive models and algorithms leveraging cutting-edge machine learning, computer vision, natural language processing, and data mining technologies. Work with engineering teams to implement model pipeline and deploy the service at scale. Collaborate with product team to define objectives and improve trust and safety strategy for company products.
The position requires a Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Statistics, or a related field,
36 months of experience in:
2. Working with machine learning algorithms and mainstream platforms including Tensorflow, Pytorch, Caffe, or MxNet
3. Working on machine learning, pattern recognition, natural language processing, data mining, or computer vision
4. Algorithms and data structures
Worksite: Mountain View, CA
Job Code: TTMTV21-227
Send resumes to: TikTok Inc., O. Seemangal, 5800 Bristol Pkwy, Suite 100, Culver City, CA 90230
Must reference job title & job code when applying.