Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
Work At Home-Illinois, United States
USD 83K-222K Senior-level Full Time
Tasks
- Build and tune RAG pipelines
- Collaborate with product design security and platform teams
- Contribute to evaluation suites and regression testing
- Deliver features using test automation code review CI CD and operational readiness
- Follow platform standards for deployment versioning monitoring and documentation
- Implement AI powered services and application features
- Implement guardrails and security controls
- Implement prompt patterns for reliability and user experience
- Improve reliability and performance using telemetry and root cause analysis
- Instrument services with metrics traces logs and dashboards
- Mentor engineers and share learnings
- Participate in incident response and post-incident improvements
- Propose solution design approaches and document tradeoffs
- Support performance and cost optimization
Perks/Benefits
- 401k matching
- Confidential counseling
- Employee stock purchase plan
- Family leave
- Financial coaching
- Flexible work schedules
- Paid time off
- Tobacco cessation
- Tuition assistance
- Weight management programs
- Wellness programs
Skills/Tech-stack
API Development | Artificial Intelligence | Backend Development | CI/CD | Caching | Code review | Containerization | Cost Optimization | Dashboards | Data Protection | Evaluation | Guardrails | Incident Response | Input validation | Kubernetes | Language Models | Large Language Models | Latency optimization | Logging | Machine Learning | Metrics | Model selection | Output Validation | Performance optimization | Policy filtering | Prompt engineering | Python | Retrieval-Augmented Generation | Security Compliance | Security controls | Test automation | Throughput Optimization | Tracing
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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