Senior AI Research Engineer
Elastic(1 month ago)
About this role
Elastic is hiring researchers to build Search Foundation Models (embeddings, rerankers, and retrieval systems) as part of a small, high-output team that ships models and publishes research. The role focuses on advancing architectures, scale/efficiency, multilingual and multimodal retrieval, and training production-grade models. Team members are expected to contribute code, experiments, and papers while working in a distributed, collaborative environment.
Required Skills
- Architecture Design
- Encoder Decoder
- Multi Vector
- Interaction Mechanisms
- Long Context
- Sparse Embeddings
- Quantization
- Multilingual
- Multimodal
- Vision Understanding
+10 more
Qualifications
- PhD in Computer Science or related field
- MSc in Computer Science or related field
About Elastic
elastic.coElastic is the Search AI company that delivers the Elastic Search AI Platform to help organizations find answers and drive outcomes from their data. Built on Elasticsearch and the Elastic Stack (Kibana, Beats, Logstash), it provides solutions for enterprise search, observability, security (SIEM), and analytics to search, analyze, and visualize logs, metrics, and other data in real time. Available as cloud-hosted and self-managed deployments, Elastic offers APIs, machine learning, vector search, and developer-friendly tools rooted in open-source technology. Customers use Elastic to accelerate time-to-insight, detect and investigate threats, troubleshoot applications, and build rich search experiences.
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