Senior ML Engineer (Agentic Search)
Nebius · Remote
3 days ago
Not specifiedagentic searchinformation retrievalsearch relevance
3 days ago
Workplace
Not specified
Location
Remote
Posted
3 days ago
Summary
Senior ML Engineer at Nebius, building and deploying models for agent-native search, retrieval, ranking, and indexing. The role focuses on production machine learning systems at scale; no work arrangement is specified.
Responsibilities
- Design and deploy production retrieval models
- Build embedding-based indexing and retrieval systems
- Develop models for crawling and content understanding
- Define search quality metrics and evaluation pipelines
- Optimize search systems for high-throughput workloads
- Integrate machine learning models into production services
- Analyze latency, quality, and cost trade-offs
pythongoc++retrievalrankingembeddingstransformers
agentic searchinformation retrievalsearch relevancelarge-scale indexingllm-integrated systems
