Senior Machine Learning System Engineer
Seattle - United States - Seattle, Washington United States; Remote - Remote; San Francisco - United States - San Francisco, California 94104 United States; Austin - United States - Austin, Texas 78702 United States; New York - United States - New York, New York 10003 United States
R
USD 168K-265K (estimate) Senior-level Full Time
Tasks
- Apply FinOps for cost optimization
- Build retrieval pipelines and vector indexing systems
- Collaborate on technical roadmaps and OKRs
- Create agentic search and RAG retrieval workflows
- Deliver end to end ML rollout across regions and tenants
- Design scalable search serving infrastructure
- Develop and productionize machine learning models
- Implement personalized indexes and grounding pipelines
- Integrate models into serving infrastructure
- Manage incident response and production health
- Mentor engineers and lead design reviews
- Provide monitoring and evaluation harnesses
- Support on call and capacity planning
Perks/Benefits
Skills/Tech-stack
Capacity Planning | Embeddings | FinOps | Incident Management | Information Retrieval | Machine Learning | Monitoring | NVIDIA Triton | Neural Networks | Neural ranking | Observability | On-Call | PyTorch | Python | Reranking | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
N/A
Regions
Countries
States
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