Sr Engineer - Machine Learning - Regulatory
Tasks
- Build production data pipelines for financial market data processing
- Collaborate on machine learning experiments for order book analysis
- Communicate technical information to technical and end user audiences
- Coordinate with complementary engineering teams
- Develop and operate AI agent systems in production
- Develop test driven Python code for production
- Document machine learning proposals experiment specifications and testing scenarios
- Implement AI and ML explainability and process compliance
- Own machine learning training and deployment infrastructure on Snowflake
- Perform rigorous code review and architecture guidance
- Track and evaluate machine learning model performance
- Work across on-premises and cloud environments
Perks/Benefits
- 401k match
- Company Charitable Giving Match
- Complimentary lunch snacks and coffee
- Employee Referral Bonus Program
- Employee stock purchase plan
- Fertility benefits
- Health, dental, and vision benefits
- Mental health services
- On-site gyms
- Paid parental leave
- Paid parental leave and fertility benefits
- Paid time off
- Paid tuition assistance
- Tax savings accounts
- Telemedicine access
- Volunteer opportunities
Skills/Tech-stack
ARIMA | Agent Orchestration | Anomaly Detection | Automated testing | BigQuery | CI/CD | Containerized workflows | Databricks | Deep learning | Docker | Experiment tracking | Feature Engineering | Governance | LLM APIs | Language Models | Large Language Models | Lifecycle Management | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Prompt engineering | PyTorch | Python | RBAC | SQL | Scikit-learn | Series modeling | Snowflake | Time Series | Time Series Modeling | Transformers | Version control
Education
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