about 2 hours ago
Responsibilities
- Reduce latency and cost of the retrieval system.
- Improve quality and relevance of search results.
- Expand retrieval system capabilities to new Asana objects and third-party data sources.
- Build and optimize search infrastructure using OpenSearch/ElasticSearch.
- Contribute to ML-powered features like embeddings-based retrieval and semantic search.
- Collaborate with cross-functional partners in New York City and build relationships with Warsaw-based peers.
Requirements
- 6+ years of experience writing code in a production environment.
- Demonstrates curiosity about AI tools and emerging technologies.
- Hands-on experience in search engineering, including OpenSearch or ElasticSearch.
- Experience with embeddings and machine learning approaches to search and retrieval.
- Experience in an Applied AI role is a plus.
Benefits
- Generous, transparent, and fair compensation system.
- Contract of Employment with tax deductible costs for author’s rights usage.
- Health insurance with dental and travel coverage.
- Breakfast and lunch catering on office workdays.
- Vacation allowance.
- Career growth budget.
- Home office setup budget.
- Gym/Fitness card.
- Fertility healthcare and family-forming support.
- Mental Health Support.
- Group life insurance.
- MacBooks with necessary accessories.
Tech Stack
Elasticsearch
Categories
AI & MLData Engineering