AI Scientist Intern
Tasks
- Apply prompt engineering
- Build experimental frameworks
- Collaborate with engineering and business partners
- Communicate results to technical and non-technical audiences
- Conduct bias and error analysis
- Debug machine learning systems in production
- Design and develop data driven algorithms
- Develop NLP models for text tasks
- Develop replicable experiments
- Evaluate generative models
- Implement alignment techniques
- Improve model performance
- Measure analyze and visualize feature importance
- Perform generative AI development with LLMs
- Prototype model use cases
- Research machine learning models
- Train and test models
- Use metrics to improve models
- Use open source packages
- Use retrieval augmented generation
- Use version control
- Write tested maintainable Python code
Perks/Benefits
Skills/Tech-stack
BERT | BLEU | Bias analysis | Deep learning | Entity recognition | Error Analysis | Feature importance | Fine Tuning | GPT | Grid Search | Hugging Face | Hugging Face Transformers | Hyperparameter Tuning | Information Extraction | Interpretability | Langchain | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | NLP | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | Optimization | Perplexity | Prompt engineering | PyTorch | Python | QLoRA | RAG | RLHF | ROUGE | Retrieval-Augmented Generation | SQL | Scikit-learn | Sentiment Analysis | Spacy | Statistical modeling | TensorFlow | Text Classification | Text Generation | Tokenization | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Scientist | AI Scientist Intern | Intern | Scientist Intern
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