Applied AI Researcher (Dublin, CA)
Tasks
- Architect parallel AI research workflows
- Build experiment tracking and reproducibility systems
- Build multimodal understanding systems
- Create training and evaluation pipelines
- Design train and iterate GenAI models
- Develop agentic research infrastructure
- Develop reinforcement learning experiments
- Document research findings and publish
- Implement automated integration testing
- Implement knowledge representation methods
- Integrate research into production
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Data Preprocessing | Deep learning | Direct Preference Optimization | Distributed Training | Experiment tracking | Git | Human Feedback | Information Retrieval | Knowledge representation | Language Processing | Learning from Human Feedback | Linear Algebra | Machine Learning | Model Evaluation | Multimodal Understanding | Natural Language | Natural Language Processing | Optimization | Preference optimization | Probability | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reproducibility | Reward Modeling
Education
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