About the role: Lumafield is looking for 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. With customers, you will scope ML applications, build and validate models against their data, and deploy them into their production workflows, remotely and on-site. You will work closely with Project Managers and the rest of the customer-facing organization including other Applications Engineers and Customer Success team members.
Internally, you will partner with Product Management and Software Engineering to harden recurring customer needs into product, and contribute to Lumafield's internal AI/ML strategy across the platform.
What you'll do:- 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.
About you:- 4+ years of professional experience building, including depth in applied computer vision, including model 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 working with team members on the production floor
- 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.
$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!
Reach out if you want to be a part of what we are building.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
