Founding Machine Learning Engineer

OneScreen.ai • Boston, MA

16h

About The Position

You'll be the founding ML engineer who owns our matching algorithms from exploration through production and the data platform that feeds them. You'll design and ship the models that rank OOH inventory against advertiser personas, markets, and dayparts. You'll own our data warehouse shape and the pipelines that fill it. You'll publish the ranking and matching APIs that downstream products, agents, and automation surfaces consume.

Requirements

• Owned a production ranking, matching, or recommendation system end-to-end. You chose the model, designed the features, made the evaluation methodology calls, and were on the hook when it drifted.
• Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy).
• Strong SQL and modern data warehouse experience (BigQuery preferred).
• Real ranking and matching modeling fluency — learning-to-rank, retrieval and re-rank patterns, not just classification.
• Evaluation methodology rigor: holdouts, leakage prevention, online vs. offline gap measurement.
• Comfort owning the data pipeline as well as the model.
• Bias toward shipping.
• Clear writer.
• Self-directed.

Nice To Haves

• Geospatial data experience (H3, PostGIS, GeoPandas)
• Mobility or location data experience
• Embedding-based retrieval (pgvector, FAISS, vector databases)
• Bandits, contextual bandits, or online learning
• A/B testing infrastructure design
• Causal inference
• dbt
• Ad-tech or OOH domain familiarity

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.
• Stand up offline and online evaluation infrastructure — measure the gap between them, don't assume it.
• Publish ranking and matching APIs for product surfaces, with latency and quality SLOs.
• Instrument model monitoring: drift detection, prediction distribution, feature freshness, retraining triggers.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed