Application Engineer, AI/ML

About The Role Lumafield is seeking an ML-experienced, customer-facing engineer to help customers achieve business results with CT-generated data. As an AI/ML Application Engineer, you will develop, test, and implement machine learning models inside customer engineering and manufacturing environments for defect detection, dimensional analysis, anomaly detection, and process control. The role includes both customer-facing work and internal platform work. Job Description AI/ML Application Engineer at Lumafield Location San Francisco, CA Employment Type On-site, Remote 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 (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 support platform improvements. 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. Qualifications 4+ years of professional experience building applied computer vision models, including development and evaluation on image or volumetric data. Hands-on experience taking ML models from training into production, including deployment, monitoring, and retraining (MLOps). 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 production floor collaboration. Strong written and verbal communication skills, with 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 (Application Engineering, Solutions Engineering, or Forward Deployed Engineering) at a technical product company. Familiarity with manufacturing data systems such as MES, SPC, or PLM. Experience contributing to internal AI/ML strategy or platform decisions. Domain experience in medical devices, aerospace and defense, automotive, electronics, or batteries. Compensation and Benefits Salary Range: Based on factors including work location, experience, and performance. All full-time employees receive an equity grant. Benefits: Competitive cash and equity compensation, health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company-wide events, and more. #J-18808-Ljbffr ChatGPT Jobs