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    Onescreen

    Advertising Technology

    Founding Machine Learning Engineer

    Boston, United StatesOn-SiteFull-timePosted 1mo ago
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    Job description

    About Onescreen

    Onescreen is the modern platform for out-of-home advertising — making it easier for brands and agencies to plan, buy, and measure OOH campaigns across thousands of vendors and formats. We move fast, operate lean, and hold ourselves to a high standard on every campaign we run.

    About the role

    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.

    What you'll do

    • 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.

    Qualifications

    The hard requirement: you have 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. We care about that ownership scope more than years on a résumé — title and compensation are scaled to your demonstrated expertise.

    Beyond that:

    • 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 have

    • 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

    Job details are sourced from the employer's original posting.

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    About the company

    Onescreen

    Onescreen is a company that provides a unified platform for managing and optimizing out-of-home (OOH) advertising campaigns. They focus on integrating various OOH formats into a broader media mix and offer tools for audience measurement and planning.

    View all Onescreen jobs
    Industry
    Advertising Technology
    Open roles
    3

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