Related skills
machine learning elasticsearch opensearch embeddingsπ Description
- Reduce latency and cost of retrieval; speed up AI features.
- Improve quality and relevance of search results.
- Expand retrieval to query new Asana objects and third-party data.
- Build and optimize search infra using OpenSearch/ElasticSearch.
- Contribute to ML-powered features like embeddings-based retrieval.
- Collaborate with NYC partners while working with Warsaw-based peers.
π― Requirements
- 6+ years writing production-grade code.
- Curiosity about AI and applying tech to solve problems.
- Hands-on experience in search engineering with OpenSearch/ElasticSearch.
- Experience with embeddings and ML for search and retrieval.
- Applied AI experience is a plus.
π Benefits
- Mental health, wellness & fitness benefits.
- Career coaching & support.
- Inclusive family building benefits.
- Long-term savings or retirement plans.
- In-office culinary options for dietary preferences.
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