TL;DR
Staff Ml Engineer (AI): Develop and optimize semantic search and retrieval-augmented generation (RAG) systems for a startup discovery engine with an accent on improving search precision, recall, and personalized real-time responses. Focus on designing embedding models, ranking pipelines, and cross-team integration to enhance venture capital investment workflows.
Location: New York, USA
Salary: $210,000–$280,000 + Equity
Company
hirify.global focused on building a startup discovery engine that powers venture capital investment workflows with AI-driven search and research tools.
What you will do
- Lead strategy and roadmap to improve semantic search precision and recall outcomes.
- Design and build systems for retrieval-augmented generation (RAG) and personalized search leveraging user data.
- Partner with infrastructure teams to generalize search and RAG architecture for platform-wide use.
- Drive integration of search features across product engineering teams.
Requirements
- Location: Must be based in New York or able to work onsite.
- 5+ years of experience as a machine learning engineer.
- Proven experience optimizing semantic search, embeddings, vector stores, or ranking pipelines.
- Hands-on experience with LLM-powered search, RAG implementations, or agentic workflows.
- Strong systems-level thinking and experience designing data models and indexing strategies.
Culture & Benefits
- Top-tier health, dental, and vision insurance with 100% premium coverage.
- 401k matching program.
- Free lunch and monthly team dinners in office.
- Commuter benefits.
Hiring process
- Recruiter screening (20 mins).
- Technical screening (45 mins).
- Jam session (2 hours).
- Behavioral interviews with Head of Engineering and CEO (30 mins each).
- Reference checks.
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