about 3 hours ago
Base Salary
$202k - $223k/yr
Responsibilities
- Reduce the latency and cost of the retrieval system.
- Improve the quality and relevance of search results.
- Expand the retrieval system's capabilities to query 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 Warsaw.
Requirements
- 6+ years of experience writing code in a production environment.
- Curiosity about how AI and technology can solve problems.
- Hands-on experience in search engineering, including with OpenSearch or ElasticSearch.
- Experience with embeddings and machine learning approaches to search and retrieval.
- Experience in an Applied AI role is a plus.
Benefits
- Mental health, wellness & fitness benefits.
- Career coaching & support.
- Inclusive family building benefits.
- Long-term savings or retirement plans.
- In-office culinary options to cater to dietary preferences.
Tech Stack
Elasticsearch
Categories
AI & MLData Engineering