Staff Machine Learning Engineer - Generative AI & Full-Stack Applications
USD 106K-284K Senior-level Full Time
Tasks
- Apply safety privacy and compliance controls including PHI PII protection
- Build evaluation harnesses for quality safety and business outcomes
- Build production grade APIs and full stack user experiences
- Create reusable libraries for prompt management retrieval tool calling and policy enforcement
- Defend against prompt injection implement policy based filtering
- Design solution architectures with large language models
- Develop prototypes and validate with evaluation red teaming and user feedback
- Identify evaluate and document generative AI use cases
- Implement RAG pipelines for chunking embedding vector search and reranking
- Implement authentication authorization audit logging and scalable deployments
- Improve developer experience with templates CI CD automation and documentation
- Instrument metrics traces logs and model app observability
- Integrate LLMs with enterprise systems data sources and tool calling
- Maintain model deployment monitoring drift and incident response
Perks/Benefits
- Dental coverage
- Medical coverage
- Paid time off
- Retirement savings options
- Vision coverage
- Wellness programs
Skills/Tech-stack
APIs | Audit Logging | Authentication | Authorization | CI/CD | Containerization | Evaluation | Guardrails | Infrastructure as Code | Injection Defense | JavaScript | Kubernetes | Language Models | Large Language Models | Logging | Metrics | Observability | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | Red Teaming | Reranking | Retrieval-Augmented Generation | Secure deployment | Security Compliance | Tool-Calling | Tracing | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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