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Application Engineer, AI/ML at Lumafield - ApplyBlast

Application Engineer, AI/ML

Lumafield

3 months ago

3.9 on Glassdoor

San Francisco, CA

Hybrid

Full Time

Senior

0 applicants

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About this role

We are seeking an Applied Computer Vision Engineer with 4+ years of experience to develop, deploy, and maintain Machine Learning models using industrial CT data for customer inspection solutions. This role involves full ownership of the model lifecycle, from data preparation and training to production monitoring and retraining, while partnering with product and project management teams. The ideal candidate will bridge technical AI/ML capabilities with manufacturing environments, delivering pragmatic solutions that directly impact customer outcomes.

Responsibilities

Develop and deploy machine learning models using 2D and 3D CT data
Own the full model lifecycle from data preparation to monitoring and retraining
Partner with project managers to scope ML deliverables and define success criteria
Translate customer needs into product capabilities with software engineering teams
Produce clear technical documentation including validation memos and reports

Skills

Qualifications

BS in Computer Science or related fieldMachine Learning CertificationMLOps Certification

About Lumafield

lumafield.com

Headquarters

Cambridge, Massachusetts, United States

Company Size

51-200 employees

Founded

2019

View Profile

Lumafield builds easy-to-use industrial 3D X‑ray (CT) scanners paired with cloud-based reconstruction and visualization software so engineers and manufacturers can inspect, measure, and analyze parts quickly from the lab to the factory floor. Their integrated hardware + cloud platform emphasizes fast, high-resolution internal imaging for quality control, failure analysis, and design validation at lower cost and simpler workflows than traditional CT systems. Customers in electronics, automotive, and industrial manufacturing use Lumafield to speed root‑cause analysis, production inspection, and R&D. The company is based in Cambridge, MA.