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Online Learning Developer Jobs (NOW HIRING)

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... online evaluation infrastructure -- measure the gap between them, don't assume it. • Publish ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

... DS, SDE, DevOps, or related roles * Experience with end-to-end development of ML models, from ... through our online learning platform with guided career tracks. Are you ready to power your ...

IXL Learning

Graphic Designer

San Mateo, CA · On-site

$78K - $100K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Our products are renowned for making online learning both intuitive and fun, and we're seeking an ...

Regenerativeaitool

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Experience with online learning, adaptive models, or feedback-driven systems * Background in model ... or developer tools Competitive salary and meaningful equity Comprehensive health, dental, and ...

IXL Learning

Associate Digital Designer

San Mateo, CA

$71K - $95K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Our products are renowned for making online learning both intuitive and fun, and we're seeking an ...

Central Michigan University

Knowledge of emerging trends, technologies, and practices related to online learning, and workforce-aligned programming in higher education. Demonstrated ability to analyze data, assess operational ...

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Online Learning Developer information

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How much do online learning developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for online learning developer in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

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Founding Machine Learning Engineer

Boston, MA • On-site

Onescreen
See more jobs at Onescreenexternal

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Onescreen is a modern platform for out-of-home advertising, focused on streamlining the planning, buying, and measuring of OOH campaigns. They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms and the data platform that supports them, along with designing and shipping models that optimize OOH inventory rankings.
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.
Qualifications:
Required:
• you have owned a production ranking, matching, or recommendation system end-to-end
• 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.
Preferred:
• 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
Company:
Onescreen is the modern partner for out-of-home advertising. Founded in 2020, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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