Onsite Solutions Engineer — Manufacturing & ML

Towards AI, Inc.

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Lumafield in San Francisco is seeking a Forward Deployed Engineer to work directly with customer engineering and manufacturing teams to deploy and execute technical projects on-site.

You will operate scanning hardware, perform analysis using the company platform to support defect detection and measurement workflows, implement ML models, train customers, and travel for extended on-site engagements.

Qualifications

  • B.S. in engineering; at least three years of professional experience in solution, manufacturing, process, or industrial engineering.
  • Proficiency in manufacturing processes and Lean, Six Sigma, SPC, or PFMEA.
  • Excellent verbal and written communication skills to lead technical conversations and represent the company independently.
  • Ability to travel for extended on-site engagements.

Responsibilities

  • Deploy and execute technical projects on-site with customer engineering and manufacturing teams.
  • Operate scanning hardware and perform analysis using the company platform to support defect detection and measurement workflows.
  • Implement machine learning models and integrate them into customer production environments.
  • Drive customer training and adoption to build internal capabilities.
  • Collaborate with project managers and internal teams to track deliverables and resolve technical challenges.

Skills

Data Collection
Computer Vision
Integrations
Product Development
Written Communication
Solution Engineer
Forward Deployed Engineer
Quantitative
Machine Learning
AI
Google Analytics

Education

B.S. in engineering

Job description

Lumafield in San Francisco is seeking a Forward Deployed Engineer to work directly with customer engineering and manufacturing teams to deploy and execute technical projects on-site.

You will operate scanning hardware, perform analysis using the company platform to support defect detection and measurement workflows, implement ML models, train customers, and travel for extended on-site engagements.

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