AI Machine Learning Engineer, TikTok Search
Tasks
- Adapt and reuse agent technologies across business scenarios
- Build AI agent systems end to end
- Build RAG systems
- Build quality validation for data reasoning and generation
- Create offline evaluation frameworks and automated assessment pipelines
- Deploy canary releases for online optimization
- Develop bad case taxonomies
- Develop data pipelines and workflow architectures
- Develop personalized memory systems
- Implement multi-step reasoning
- Implement service execution layers and observability
- Optimize algorithms for business goals
- Run offline batch experiments and A B testing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | Automated testing | B testing | Batch Processing | Canary Deployment | Computer Vision | Data Pipelines | Evaluation Frameworks | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-step reasoning | Multimodal Learning | Natural Language | Natural Language Processing | Observability | Offline Batch Processing | RAG | Recommender Systems | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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