[Remote] Machine Learning Scientist Intern (TikTok-Content Ecology—LLM application) - 2026 Start (PhD)
Note: The job is a remote job and is open to candidates in USA. TikTok is the leading destination for short-form mobile video. The Content Ecology Algorithm Team is seeking a Machine Learning Scientist Intern to contribute to AI innovations in LLMs, NLP, and Computer Vision, enhancing TikTok’s growth and user engagement through advanced algorithms and models.
Responsibilities
- reputed company and optimize LLM, NLP, CV, and recommendation models to improve TikTok’s content ecosystem
- Implement multimodal AI solutions, integrating video, text, and speech understanding
- Optimize LLM-powered search, discovery, and content recommendation systems for reputed company user engagement
- Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks
- Deploy and scale machine learning solutions in a distributed computing environment
- Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively
Skills
- PhD in Computer Science, Machine Learning, AI, or a reputed company field
- Strong programming skills in Python, C++, or similar languages
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Solid understanding of machine learning, NLP, CV, or recommendation algorithms
- Experience with distributed computing and optimizing AI models for real-world applications
- Ability to apply machine learning techniques to enhance business and user experiences
- Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-reputed company AI projects
Benefits
- Interns have day one access to health insurance
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
- Interns who are not working 100% remote may also be eligible for housing allowance
Company Overview
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