AI Scientist
Tasks
- Apply model evaluation benchmarking explainability security and responsible AI
- Build and validate AI solutions across full lifecycle from data to deployment
- Conduct original AI research and feasibility investigations
- Design and evaluate AI agents and multi agent systems
- Develop hypotheses design experiments and evaluate results
- Drive AI architecture decisions for scalability security and compliance
- Establish prompt engineering and LLM governance best practices
- Implement retrieval-augmented generation and fine-tuning
- Lead development of foundation model and generative AI solutions
- Mentor engineers and data scientists
- Monitor evaluate and experiment with emerging AI technologies
- Own outcomes and ensure delivery from concept through adoption
- Partner with engineers to transition prototypes into production
- Rapidly prototype AI solutions and proof of concepts
Perks/Benefits
- 401k
- Adoption Assistance
- Healthcare (Medical Dental Vision)
- Hybrid/flexible schedule
- Life insurance
- Long-term disability
- Paid Holidays
- Paid vacation
- Parental leave
- Short-term disability
- Sick and safe leave accruals
Skills/Tech-stack
Agent systems | Cloud Platforms | Deep learning | Explainability | Fine Tuning | Generative AI | Hugging Face | Inference Optimization | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Neural Networks | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Security | Transformer Architectures
Education
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