Applied AI Scientist - Multimodal Intelligence
Tasks
- Adapt research for applied use
- Apply foundation models for autonomous or semi autonomous agents
- Build data pipelines for multimodal data
- Collaborate with engineering teams
- Conduct applied research experiments
- Evaluate and optimize multimodal foundation models
- Evaluate emerging research
- Fine tune and optimize models for deployment
- Support privacy preserving or on device machine learning
- Transform approaches into production solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent planning | Artificial Intelligence | Computer Vision | Data Curation | Data Pipelines | Data Preprocessing | Deep learning | Device Machine Learning | Fine Tuning | Foundation Models | Generative AI | JAX | Language Models | Language Processing | Machine Learning | Model Optimization | Multi-step reasoning | Multimodal Alignment | Multimodal Learning | Natural Language | Natural Language Processing | On-device Machine Learning | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Python | Research prototyping | Task decomposition | Video-language models | Vision Language Models | Vision-language
Education
Roles
Regions
Countries
States
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