---
title: 'Application Engineer, CV/ML at Lumafield'
canonical: 'https://feeny.ai/job/application-engineer-cv-ml-lumafield-san-francisco-4p1dtnn8cmwk'
type: 'job'
last_seen: '2026-09-12'
---

# Application Engineer, CV/ML at Lumafield

- **Company:** Lumafield
- **Location:** San Francisco, CA
- **Compensation:** $120k–$140k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/lumafield/0bcd8cce-ce74-4f39-a0f7-182278d4844b

## Job description

About Lumafield:

Lumafield was founded in 2019 to upgrade manufacturing.

We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.

Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.

We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.

Lumafield is headquartered in San Francisco, CA. and has an office in Cambridge, MA.

About the role: Lumafield is looking for an ML-experienced, customer-facing engineer to help customers achieve business results with CT-generated data. As a CV/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 CV/ML strategy across the platform.

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.
- 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.
- Build internal and customer-facing software components using modering 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 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.

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!

Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.

Reach out if you want to be a part of what we are building.

## About Lumafield

## Company Overview
- **One-liner**: Lumafield provides industrial X-ray computed tomography (CT) scanners and cloud-based analysis software that give engineers non-destructive, three-dimensional insight into manufactured parts.
- **Entity Type**: Private (Series C funded)
- **Headquarters**: San Francisco, California, United States (with an additional office in Cambridge, Massachusetts)
- **Founded**: 2019
- **Founders**: Eduardo Torrealba (CEO)

## Core Business
- **Primary industry/industries**: Industrial CT scanning, non-destructive testing, manufacturing intelligence, hardware + software.
- **Target customers**: B2B – engineering teams in manufacturing, aerospace, automotive, medical devices, defense, and consumer goods.
- **Mission/purpose statement**: “Upgrade manufacturing.” The company is building a platform from X-ray capture to computer vision analysis to web-based collaboration to make advanced manufacturing tech accessible to every industry. [lumafield.com/about](https://www.lumafield.com/about)

## Products & Services
- **[Neptune, Triton, Saturn]**: Industrial X-ray CT scanners for R&D and production, offering non-destructive internal inspection of components.
- **[Mars]**: High-volume in-line inspection solution for automated quality assurance on manufacturing lines.
- **[Voyager]**: Cloud-based analysis software that enables engineers to inspect, measure, and collaborate on CT scan data from any browser.

All products are part of an integrated manufacturing intelligence platform. [cbinsights.com/company/lumafield](https://www.cbinsights.com/company/lumafield)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company).
- **Key Metric**: Total funding of $202.5M; annual revenue reported at $3M (likely early-stage). [linkedin.com/company/lumafield](https://linkedin.com/company/lumafield)
- **Notable Investors/Partners**: Series C ($75M) led by IVP (April 2025); prior rounds led by Kleiner Perkins, Lux Capital, DCVC. [linkedin.com/company/lumafield](https://linkedin.com/company/lumafield)
- **Growth Signals**: Headcount grew 17.8% YoY to ~140 employees; LinkedIn followers up 106.7% yearly to 34,410; actively hiring across engineering, sales, and compliance roles. [linkedin.com/company/lumafield](https://linkedin.com/company/lumafield)

## Competitive Advantages
- **Full-stack rebuild**: Lumafield rebuilt the entire CT scanning system – from X-ray capture hardware to computer vision analysis to a web-based collaboration platform – making a historically expensive and complex tool far more accessible.
- **Cloud-native software**: Voyager enables real-time collaboration and analysis without on-premise installation, a differentiator against legacy CT software.
- **Patented technology**: The company holds 15 patents related to 3D X-ray and inspection methods. [cbinsights.com/company/lumafield](https://www.cbinsights.com/company/lumafield)

## Strategic Focus
- **Upgrade manufacturing**: Continue expanding the hardware and software platform to make industrial CT scanning an everyday tool for engineering teams.
- **Scale for high-volume inspection**: Mars (in-line solution) targets production-line quality assurance, opening the market beyond R&D.
- **Defense & regulated industries**: Hiring for Director of Regulatory Compliance & Validation Strategy and Customer Success Manager – Defense & Federal Programs, indicating a push into government and regulated verticals. [jobs.lever.co/lumafield](https://jobs.lever.co/lumafield)

## Why Work Here
- **Culture & values**: Core values of speed, curiosity, integrity, and empathy; employees are recognized through quarterly peer-nominated awards (“Mega Kudos”); open-door policy, monthly all-hands, and CEO office hours. [lumafield.com/careers](https://www.lumafield.com/careers)
- **Remote/hybrid**: Hybrid model – new hires attend an onboarding week at Boston HQ; roles based in San Francisco, Cambridge, and El Segundo. [lumafield.com/careers](https://www.lumafield.com/careers)
- **Perks**: Health/vision/dental coverage; paid parental leave; equity for all full-time employees; flexible vacation; mental health & wellness perks; catered lunches & full kitchen; retirement savings. [lumafield.com/careers](https://www.lumafield.com/careers)
- **Engineering culture**: Emphasis on solving complex problems, hands-on work with manufacturing hardware and software, and collaboration across disciplines (hardware, software, AI/ML). [jobs.lever.co/lumafield](https://jobs.lever.co/lumafield)

## Sources
1. [lumafield.com/careers](https://www.lumafield.com/careers)
2. [lumafield.com/about](https://www.lumafield.com/about)
3. [linkedin.com/company/lumafield](https://linkedin.com/company/lumafield)
4. [cbinsights.com/company/lumafield](https://www.cbinsights.com/company/lumafield)
5. [jobs.lever.co/lumafield](https://jobs.lever.co/lumafield)

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