Applied AI Scientist - Multimodal Intelligence
Tasks
- Adapt research for product needs
- Build multi-step reasoning agents
- Collaborate with engineering teams
- Conduct applied research experiments
- Develop data curation and preprocessing pipelines
- Evaluate emerging research
- Fine-tune large models
- Optimize models for production deployment
- Plan model experiments
- Support multimodal foundation models
- Transform approaches into robust solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Curation | Data Pipelines | Data Preprocessing | Deep learning | Device Machine Learning | Efficient Storage | Experiment reproduction | Fine Tuning | Foundation Models | JAX | Language Models | Language Processing | Large Language Models | Learning evaluation | Machine Learning | Machine learning evaluation | Model Fine-tuning | Multi-step reasoning | Multimodal Learning | Natural Language | Natural Language Processing | On-device Machine Learning | Privacy-preserving | Privacy-preserving machine learning | Production Deployment | PyTorch | Python | Rapid Prototyping | Video-language models | Vision Language Models | Vision-language
Education
Regions
Countries
States
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