Application Engineer, CV/ML

What you'll do:

• Build, train, and validate computer-vision models on 2D and 3D CT data for customer inspection use cases.


• Develop deep working knowledge of Voyager and the Lumafield platform, and apply it to build and deliver customer solutions. 


• Operate Lumafield scanners, perform analysis in Voyager including defect detection, and present results to customers. 


• 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.

About you:

• 3+ years of professional experience including hands-on work building and evaluating computer-vision models on image data including object detection, classification, labeling, and validation. 


• Comfortable seeing a model through the full lifecycle: data preparation, labeling, training, evaluation, and iteration based on real-world performance. 


• Experience working directly with customers or other non-ML stakeholders to translate business and engineering problems into ML solutions.


• Comfort operating in engineering and manufacturing environments, including working with team members on the production floor


• Comfortable operating autonomously with a distributed team. 


• Strong written and verbal communication skills, including the ability to present technical results to engineering, product, and executive audiences.


• A track record of shipping pragmatic, useful models — balancing speed, quality, and customer impact.


• Willingness to travel approximately 30%, primarily to customer sites


• This is a blended role. You should expect roughly 70% of your time on model development and related engineering work and 30% hands-on applications work: operating scanners, performing Voyager analysis, and presenting results to customers. We are looking for someone who is energized by that breadth. 
 

Bonus points:

• 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.