Application Engineer, AI/ML

Lumafield
San Francisco
Workplace: OnsiteFull timeUSD 120,000 - 140,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Stakeholder management","Collaboration","Technical documentation","Problem-solving"]

Develop, test, and deploy 2D/3D CT-based machine learning models for customer inspection use cases such as defect detection, dimensional analysis, anomaly detection, and process control. Own the end-to-end model lifecycle from data preparation and feature/label design through training, evaluation, deployment, monitoring, and retraining (MLOps). Partner with project, product, and software teams while documenting results and contributing to internal AI/ML platform strategy across regulated industries.

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FursaFursa
Lumafield
Lumafield
2 months ago

Application Engineer, AI/ML

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Develop, test, and deploy 2D/3D CT-based machine learning models for customer inspection use cases such as defect detection, dimensional analysis, anomaly detection, and process control. Own the end-to-end model lifecycle from data preparation and feature/label design through training, evaluation, deployment, monitoring, and retraining (MLOps). Partner with project, product, and software teams while documenting results and contributing to internal AI/ML platform strategy across regulated industries.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, test, and deploy machine learning models using 2D and 3D CT data for customer inspection use cases.
  • •Own the full model lifecycle end-to-end, including data preparation, feature/label design, training, evaluation, deployment, monitoring, and retraining.
  • •Work directly with customer engineering and manufacturing teams remotely and on-site to deliver models into production workflows.
  • •Partner with project, product, and software teams to scope ML deliverables, define success criteria, and translate customer needs into platform capabilities.
  • •Contribute to internal AI/ML strategy (evaluation standards, deployment patterns, and governance) and produce technical documentation and customer-facing reports.
Travel: High travel

Pay and Benefits

Salary: USD 120,000 - 140,000 annually
Equity and Bonus:Equity
Perks:Wellness Stipend401kParental LeavePaid LeaveCommuter Benefits

Key Requirements

  • •4+ years of professional experience building applied computer vision models on image or volumetric data.
  • •Hands-on experience taking ML models from training into production, including deployment, monitoring, and retraining (MLOps).
  • •Ability to translate business and engineering problems into ML solutions with customers or other non-ML stakeholders.
  • •Comfort working in engineering and manufacturing environments, including the production floor.
  • •Strong written and verbal communication skills to present technical results to engineering, product, and executive audiences.
Experience:4+ years
Skills:CommunicationStakeholder managementCollaborationTechnical documentationProblem-solving
Tech Stack:Machine learningApplied computer visionComputer vision2D3DCT dataMLOpsX-ray captureMESSPCPLM

Company Brief

Lumafield
Provides industrial 3D X-ray (CT) scanning hardware and software with AI-powered analytics for nondestructive inspection, quality assurance, and reverse engineering across manufacturing and electronics industries.
Industry: Industrial Machinery
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Cambridge, United States
WebsiteLinkedIn