ML Platform Engineer - End-to-End Pipelines; SF Onsite
Listed on 2026-11-05
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Software Development
Data Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Lantern is seeking a Machine Learning Engineer to own end-to-end ML platform workflows for customer recommendations. This onsite role in San Francisco involves building scalable data pipelines, reusable infrastructure, and production-grade code to deliver reliable, high-quality recommendations.
The ideal candidate has 4–6 years of experience in ML or software engineering, strong Python skills, and experience with AWS or GCP, Airflow, Kubeflow, and real-world data.
Our team is growing, and we are hiring a ML Platform Engineer
- End-to-End Pipelines (SF Onsite) in San Francisco, CA, United States.
This posting is for the ML Platform Engineer
- End-to-End Pipelines (SF Onsite) role at Lantern, based in San Francisco, CA, United States.
We are looking to fill the ML Platform Engineer
- End-to-End Pipelines (SF Onsite) position at Lantern in San Francisco, CA, United States.
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