ML Engineer for AI‑Powered Search & Discovery

Bask Health; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Bask Health is seeking a Machine Learning Engineer focused on Search & Discovery to build intelligent information retrieval systems across its telehealth platform. You will work on semantic and hybrid search, embeddings, and vector databases, partnering with product and backend teams to deliver reliable, scalable search experiences.

You will contribute to ranking, filtering, and access-control aware retrieval in a healthcare context, ensuring privacy and tenant boundaries while advancing

Qualifications

• 3+ years of professional experience in ML/engineering or search engineering.
• Experience building production software or data-driven systems.
• Strong Python/TypeScript coding skills and API development experience.
• Baseline knowledge of information retrieval and search system fundamentals.
• Experience with embeddings, vector search, and ranking concepts.

Responsibilities

• Build intelligent search and discovery capabilities across Bask Health’s apps.
• Develop search services from approved platform data sources.
• Implement semantic search using embeddings and vector retrieval.
• Create hybrid keyword and semantic search systems.
• Improve ranking and retrieval quality and monitor performance.
• Ensure access controls and tenant boundaries in healthcare data.
• Collaborate with product and backend teams to translate needs into features.
• Write tests and documentation for search features and pipelines.

Skills

Python

TypeScript

Search engineering

Information retrieval

Back-end services

APIs

Embeddings

Vector databases

Cloud awareness

Tools

Elasticsearch/OpenSearch

Pinecone/Weaviate/pgvector

OpenAI APIs

Job description

Bask Health is seeking a Machine Learning Engineer focused on Search & Discovery to build intelligent information retrieval systems across its telehealth platform. You will work on semantic and hybrid search, embeddings, and vector databases, partnering with product and backend teams to deliver reliable, scalable search experiences.

You will contribute to ranking, filtering, and access-control aware retrieval in a healthcare context, ensuring privacy and tenant boundaries while advancing