# Application Engineer, AI/ML

**Company:** [Lumafield](https://hotfix.jobs/companies/lumafield)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $120k – $140k/yr
**Experience:** 3+ years
**Skills:** Computer Vision, Machine Learning, Python, object detection, Model Training, Model Evaluation, data labeling, ct data, 3d data, llm prompting, agentic frameworks, ai-assisted coding
**Posted:** 2026-06-30

> Build, train, validate, and deploy computer vision and ML models on 2D/3D CT scan data for customer defect detection, dimensional analysis, and process control. Own full model lifecycle with manufacturing customers (70% model engineering, 30% on-site scanner operation/analysis), translate needs into product features, and contribute to internal AI/ML strategy. Requires 3+ years CV/ML experience and customer-facing skills.

## Job Description

## 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.

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