Applied AI Scientist, Language & Context
Tasks
- Apply model interpretability and dissection to extract latent representations
- Build ML pipelines for real time inference with multiple input streams
- Customize language models for downstream decoding pipelines
- Deploy state of the art models for audio video and application state parsing
- Develop and deploy GPU accelerated ML pipelines
- Fine tune language models for brain computer interface applications
- Maintain documented version controlled code and analysis pipelines
- Miniaturize models for low latency processing
- Perform context engineering for downstream decoders
- Train and evaluate transformer models
Perks/Benefits
Skills/Tech-stack
Audio Processing | Context modeling | Deep learning | GPU Acceleration | LLM Alignment | LLM safety | Language Model | Language Modeling | Language Processing | Large Language Model | Machine Learning | Model Interpretability | Multilingual Modeling | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Series analysis | Speech Recognition | Time Series | Time Series Analysis | Transfer Learning | Transformer | Video Processing
Education
Regions
Countries
States
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