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nlp kubernetes elasticsearch llms opensearch📋 Description
- Architect a unified Global Search entry point across players, teams and modes.
- Lead projects to deliver a fast, smart, personalized search experience.
- Turn Search into a primary driver of gameplay.
- Architect a native Search & Discovery module with the Dataverse stack.
🎯 Requirements
- 5+ years in ML engineering with IR/search expertise.
- 3+ years in technical leadership and architecture.
- Experience with Elasticsearch, OpenSearch, Solr, or vector DBs.
- Performance engineering for low-latency APIs and queries.
- Cloud: GCP, Kubernetes; Terraform for IaC.
- NLP/GenAI enhancements for conversational search.
🎁 Benefits
- Health, dental, and vision plans subsidized by the company.
- 401(k) with company match.
- Annual bonus.
- Flexible PTO.
- 16 weeks paid parental leave and disability benefits.
- Equipment provided (Windows & Mac).
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