Applied AI Researcher
Tasks
- Assess prompt optimization fine tuning and retrieval strategies
- Collaborate with engineers for latency cost and observability requirements
- Conduct applied research for LLMs and GenAI
- Design experiments for model evaluation and robustness
- Develop evaluation methodologies using benchmarks and adversarial testing
- Document model limitations bias and safety considerations
- Prototype GenAI and NLP solutions for enterprise use cases
- Track emerging AI research and provide practical recommendations
- Translate research results into production requirements for enterprise platforms
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance
- Health savings account
- Life insurance
- Long-term disability
- Medical insurance
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AWS | Adversarial Testing | Amazon Bedrock | Amazon SageMaker | Databricks | Deep learning | Embeddings | Fine Tuning | Hugging Face | Information Retrieval | Instruction Tuning | LLM | Language Processing | MLflow | Machine Learning | Model Evaluation | Model Optimization | Model Validation | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | Synthetic data | TensorFlow | Transformers | Vector Search
Education
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