Senior Engineer - Machine Learning - Regulatory
Tasks
- Build data pipelines for financial market data
- Collaborate on machine learning experiments
- Communicate technical details to technical and end user audiences
- Create technical documentation for proposals experiments and designs
- Develop and operate AI agent systems in production
- Develop test driven Python code
- Implement explainability and process compliance solutions
- Own and evolve ML training and deployment infrastructure on Snowflake
- Perform code reviews and provide architecture guidance
- Track and evaluate model performance for training validation inference and monitoring
- Work in on-premises and cloud environments
Perks/Benefits
- 401k match
- Dental insurance
- Employee stock purchase plan
- Health insurance
- Mental health services
- On-site gym
- Paid community service days
- Paid parental leave
- Paid time off
- Telemedicine
- Tuition assistance
- Vision insurance
Skills/Tech-stack
ARIMA | Agent Orchestration | Anomaly Detection | Automated testing | BigQuery | CI/CD | Clustering | Databricks | Deep learning | Distributed Training | Docker | Embeddings | Experiment tracking | LLM APIs | Machine Learning | Prompt engineering | PyTorch | Python | RBAC | SQL | Scikit-learn | Sequence Modeling | Snowflake | TCN | Time Series | Transformers | Version control
Education
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