AL/ML Research Scientist
Tasks
- Conduct applied AI research
- Conduct model explainability bias mitigation and trustworthiness experimentation
- Design model evaluation frameworks
- Develop NLP pipelines for intelligence data
- Develop experimental ML prototypes
- Develop feature engineering and representation learning strategies
- Develop knowledge graphs and graph reasoning
- Explore transformer architectures and embedding models
- Implement retrieval augmented generation approaches
- Publish internal technical research briefs
- Support AI governance and data readiness initiatives
- Transition prototypes into production systems
Perks/Benefits
- 401k employer match
- Company paid memberships
- Dental insurance
- Flexible spending account
- Flexible work schedule
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid vacation
- Reimbursement for professional training
- Short-term disability
- Vision insurance
Skills/Tech-stack
AWS | Agile | Bias Mitigation | Containers | Deep learning | Document Exploitation | Embedding Models | Feature Engineering | Graph analytics | Huggingface | Information Retrieval | Knowledge graphs | Language Processing | Machine Learning | Model Evaluation | Model Explainability | NLP | Natural Language | Natural Language Processing | OCR | PyTorch | Python | RAG | Representation Learning | Retrieval-Augmented Generation | SAFe | Semantic Modeling | Software Deployment | TensorFlow | Transformer
Education
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