Lumafield - Application Engineer, AI/ML
Requirements
• Background in industrial CT, computer vision on volumetric or 3D data, or NDT and inspection workflows. • Prior experience in a customer facing role such as Application Engineering, Solutions Engineering, or Forward Deployed Engineering role at a technical product company. • Familiarity with manufacturing data systems such as MES, SPC, or PLM, and the workflows surrounding them. • Experience contributing to internal AI/ML strategy or platform decisions at a previous company. • Domain experience in one of Lumafield's core industries: medical devices, aerospace and defense, automotive, electronics, or batteries. • $120,000 - $140,000 a year • The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. • Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!
Responsibilities
• Develop, test, and deploy machine learning models using 2D and 3D CT data for customer inspection use cases. • Work directly with customer engineering and manufacturing teams, both remotely and on-site, to own the full model lifecycle, from data preparation, feature and label design, training, evaluation, and deployment to monitoring, and retraining. • Partner with Project Managers to scope customer ML deliverables, set realistic timelines, define success criteria, and communicate progress and risk. • Collaborate with Product Management and Software Engineering to translate recurring customer needs into product capabilities and support work to improve the broader Lumafield platform. • Contribute to Lumafield's internal AI/ML strategy, including model evaluation standards, deployment patterns, and governance across regulated industries. • Produce clear technical documentation, including model documentation, validation memos, and customer-facing reports.
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