Application Engineer, AI/ML

What you'll do

• Build, train, and validate computer-vision models on 2D and 3D CT data for customer inspection use cases (defect detection, dimensional analysis, anomaly detection, process control).
• Develop deep working knowledge of Voyager and the Lumafield platform 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 (remotely and on-site) to own the full model lifecycle: data preparation, feature and label design, training, evaluation, deployment, 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 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.
• Build internal and customer-facing software components using modern AI tools such as LLM prompting, agentic frameworks, and AI-assisted coding.

About you

• 3+ years of professional experience including hands-on work building and evaluating computer-vision models on image data (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.

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.