Lead Applied Scientist
Tasks
- Architect predictive generative and optimization models
- Deploy and maintain models with engineering and DevOps teams
- Design novel machine learning and optimization methodologies
- Develop analytics forecasting and decision support models
- Develop and integrate RAG pipelines for agent workflows
- Drive experimentation and rapid prototyping
- Ensure HIPAA compliance and data privacy
- Implement model monitoring frameworks
- Implement responsible AI practices for model validation monitoring and risk management
- Lead research design and deployment of machine learning and AI systems in production
- Mentor applied scientists and data scientists
- Research and evaluate emerging AI foundation models and agentic systems
- Translate AI capabilities into scalable production solutions
- Write production ready high quality code
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Employee recognition
- Employee stock purchase plan
- Flexible schedule
- Flexible spending account
- Generous paid time off
- Health insurance
- Life insurance
- Long-term disability
- Paid parental leave
- Short-term disability
- Tuition assistance
- Tuition reimbursement
- Tuition support
- Vision insurance
Skills/Tech-stack
Agentic AI | Autogen | CrewAI | Data Quality | Deep learning | Forecasting | Generative AI | GitHub Copilot | HIPAA | LLM Evaluation | Langchain | Langgraph | Machine Learning | Model Monitoring | Model Validation | N8n | OpenAI Codex | Optimization | Predictive Modeling | PyTorch | Python | RAG | Risk Management | Statistics | TensorFlow
Education
Roles
Applied Scientist | Lead | Lead Applied Scientist | Scientist
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