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Contract Google Machine Learning Engineer Jobs in Boston, MA

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud ...

Machine Learning Engineer II

Cambridge, MA

$106K - $145K/yr

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization ...

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

Showing results 41-60

Contract Google Machine Learning Engineer information

See Boston, MA salary details

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How much do contract google machine learning engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for contract google machine learning engineer in Boston, MA is $53.16, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $55.10 per hour, depending on experience, location, and employer.

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For Contract Google Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Contract Google Machine Learning Engineer jobs in Boston, MA are:

Founding Machine Learning Engineer

Onescreen

Boston, MA • On-site

Full-time

Re-posted 22 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.