Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - CV/Multimodal)- 2025 Start (PhD)
ExternalFull-timeOn-site10mo ago
Computer VisionMachine LearningPyTorchTensorFlow
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Responsibilities
- Team Introduction:
- We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok
- Successful candidates must be able to commit to an onboarding date by end of year 2025.
- We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
- Applications will be reviewed on a rolling basis. We encourage you to apply early.
- Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.
- Exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.
- Applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as product creativity generation, generation and optimization of product materials, virtual try-on, e-commerce video generation and editing.
- MultiModal Content understanding of TikTok short videos, identifying various structured information related to e-commerce to meet the purchasing demands of different consumers
Requirements
- Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Understanding of TensorFlow/PyTorch or similar training frameworks. Familiarity with mixed precision training, distributed training, and TensorRT deployment.
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
- Internship experience or research experience, especially in e-commerce, multimodal/AIGC, including image and video understanding, generation.
- Research in a specific area of computer vision/multimodality and publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
- Excellent communication skills, strong learning ability, proactive, and enthusiastic attitude.
- Job Information
- [For Pay Transparency] Compensation Description (annually)
- The base salary range for this position in the selected city is $129960 - $246240 annually.
- The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
- For Los Angeles County (unincorporated) Candidates:
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