Manager, AI Engineering
Princeton, New Jersey, United States; San Diego, California, United States; South San Francisco, California, United States
R
USD 122K-152K Mid-level Full Time
Tasks
- Apply AI governance
- Build LLM pipelines
- Conduct bias testing
- Create reference implementations
- Create technical documentation
- Deploy machine learning solutions
- Design machine learning solutions
- Develop AI use cases
- Develop reusable AI patterns
- Ensure compliance with regulations
- Evaluate model performance
- Implement MLOps and LLM Ops
- Integrate agent frameworks
- Integrate vector databases
- Maintain LLM pipelines
- Map AI controls to frameworks
- Monitor model performance
- Prototype AI use cases
- Support explainability
- Support model documentation
- Support model lineage
- Support model rollback
Perks/Benefits
- 401k match
- Business travel coverage
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee stock purchase plan
- Hybrid work
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid sick time
- Paid vacation
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AI Act | AI RMF | Agent Frameworks | Bias Testing | Data Lineage | EU AI | EU AI Act | Evaluation benchmarks | Explainability | Generative AI | Guardrails | GxP | LLM-Ops | Language Models | Large Language Models | ML Ops | Machine Learning | Model Registry | Monitoring | NIST AI | NIST AI RMF | Observability | PyTorch | Python | Rollback | SQL | Scikit-learn | TensorFlow | Vector Databases | Version control
Education
Regions
Countries
States
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