Applied Scientist 4
Tasks
- Collaborate with product teams to deploy research
- Communicate research insights to teams
- Design evaluations for creative intelligence and marketing performance
- Develop research initiatives in machine learning
- Develop research initiatives in natural language processing
- Develop synthetic data generation techniques
- Generate and evaluate synthetic data at scale
- Integrate machine learning models into Adobe Experience Manager
- Integrate machine learning models into Adobe Experience Platform
- Manipulate and analyze high-volume data
- Prototype solutions with product design and engineering teams
- Refine research experiments iteratively
- Run experiments to study data and model quality
- Train machine learning models
- Transition prototypes from research to production
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Causal Inference | Cognitive Evaluation | Computational Social Science | Content Understanding | Data Analysis | Data Generation | Data Quality | Dimensional data | Evaluation Design | Experimentation | High Dimensional Data | Language Models | Language Processing | Large Language Models | Machine Learning | Model Training | Multimodal Content | Multimodal content understanding | Natural Language | Natural Language Processing | Network Analysis | Recommendation Systems | Social Science | Social network | Social network analysis | Synthetic Data Generation | Synthetic data
Education
Roles
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