Staff ML Engineer
Tasks
- Build data pipelines feature stores and model serving infrastructure
- Design prompt injection detection behavioral anomaly detection trust scoring policy recommendations
- Design train evaluate and ship ML systems for governance security
- Develop evaluation harnesses and feedback loops
- Ensure monitoring and service operations with on call responsibility
- Make build vs buy decisions for models and tooling
- Mentor and recruit team members
- Set ML architecture evaluation methodology and model lifecycle direction
Perks/Benefits
- Equity
- Freedom and flexibility
- Home office setup
- Medical benefits
- Paid parental leave
- Paid time off
- Remote-first culture
- Retirement benefits
- Technology stipend
- Training stipend
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Data Pipelines | Evaluation | Feature Store | Fine Tuning | Fraud Detection | Guardrails | Imbalanced Data | LLM | Machine Learning | Model Serving | Monitoring | Policy recommendation | Prompt engineering | Retrieval | Security | Trust Scoring
Education
Roles
Regions
Countries
States
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