Sr. ML Engineer
Tasks
- Architect and scale document processing pipelines
- Build and expand knowledge graph
- Design and iterate search and retrieval systems
- Drive end to end ambiguous projects
- Establish evaluation and experimentation frameworks
- Lead multi agent system design and build
- Own and evolve AI platform components
- Write production-grade code
Perks/Benefits
- Dental insurance
- Flexible work options
- In-person retreats
- Learning stipend
- Medical insurance
- Remote/hybrid work
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Agent systems | Data extraction | Distributed Systems | Document parsing | Evaluation | Experimentation | Go | Indexing | Information Retrieval | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Orchestration | Provenance Graphs | Python | Query Understanding | Retrieval-Augmented Generation | Search & Ranking | Structured data | Structured data extraction | Text Chunking
Education
N/A
Regions
Countries
States
Cities
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