Why This Role Matters
This role would build the data and matching systems that connect artists, opportunities, and collaborators, forming the technical foundation behind Liso relationship intelligence. You would work on the pipelines, models, and evaluation systems that make matching explainable and trustworthy.
Responsibilities
Design and build data pipelines that structure and enrich artist, opportunity, and relationship data.
Develop matching and scoring approaches that are explainable and auditable, not black-box.
Build evaluation frameworks to measure match quality and fairness over time.
Partner with Engineering and Product to integrate matching systems into the core product.
Establish responsible-AI practices appropriate for handling sensitive candidate and artist data.
Minimum Qualifications
4+ years of experience in data engineering, machine learning engineering, or applied AI roles.
Experience building production data pipelines and, or ranking, recommendation, or matching systems.
Strong understanding of evaluation methodology and the limitations of automated scoring.
Comfort explaining technical tradeoffs to non-technical stakeholders.
Preferred Qualifications
Experience with responsible-AI, fairness, or explainability practices.
Experience with recommendation systems in a marketplace, talent, or media context.
Familiarity with privacy-conscious data handling for sensitive personal data.
Required Skills
Data pipeline engineering, applied machine learning, evaluation and metrics design.
Preferred Skills
Python data and ML stack, vector search or embeddings, explainable AI techniques.
Required Experience
4+ years in data or ML engineering.
Preferred Experience
Experience building matching or recommendation systems handling sensitive personal data.
What Success Could Look Like
First 90 days: a working, explainable matching pipeline prototype with initial evaluation metrics.
First 180 days: production matching pipeline with documented safeguards around fairness and data handling.
Education
No specific degree is required. We weight demonstrated experience, judgment, and outcomes over credentials.
Work Authorization
Must be authorized to work in the United States. Liso does not currently sponsor employment visas.
Travel
Minimal. Occasional travel for team offsites, industry events, or partner meetings may be requested.
