OneScreen
Founding Machine Learning Engineer
Boston, MA
Sponsorship not specifiedDetected 20 days ago
PythonFastAPIAlgorithmsSQLBigQueryVector DatabasesMachine LearningPandasNumPydbtA/B Testing
About the role
- You'll publish the ranking and matching APIs that downstream products, agents, and automation surfaces consume.
Responsibilities
- Design and ship matching and ranking models for OOH inventory: candidate generation, re-ranking, geospatial-aware scoring.
- Own the data warehouse layer end to end: staging, marts, feature pipelines, freshness, lineage.
- You chose the model, designed the features, made the evaluation methodology calls, and were on the hook when it drifted.
Requirements
- you have owned a production ranking, matching, or recommendation system end-to-end.
- We care about that ownership scope more than years on a résumé - title and compensation are scaled to your demonstrated expertise.
- The hard requirement: you have owned a production ranking, matching, or recommendation system end-to-end.
Nice to have
- Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy).
- Strong SQL and modern data warehouse experience (BigQuery preferred).
- holdouts, leakage prevention, online vs. offline gap measurement.
- Comfort owning the data pipeline as well as the model.
- Bias toward shipping.
Benefits
- Real ranking and matching modeling fluency - learning-to-rank, retrieval and re-rank patterns, not just classification.
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