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Matroid

Senior VLM & VFM Field Engineer

Updated

$200,000–$350,000Palo Alto, CAOn-siteSenior

Senior field engineer owning customer-facing delivery of production-grade VLM, VFM, and computer vision systems across enterprise deployments.

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View posting at Matroid

At a glance

Posted base pay

$200K–$350KAbove the median

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 3+ yearsindustry experience focused on computer vision, AI, robotics, machine learning, natural language processing, or a related disciplinePreferred

Tools

  • PyTorch
  • TensorFlow
  • JAX
  • Hugging Face
  • NumPy
  • OpenCV
  • PLC
  • SCADA
  • VLM
  • VFM

Less common in FDE jobs

  • Covers pre-sales25%
  • On-site37%
  • Covers proofs of concept40%
  • Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

What you’ll do

  • Build and deploy VLM, VFM, and specialized computer vision systems
  • Own technical delivery from scoping and model selection through production deployment
  • Optimize inference across cloud, edge, and hybrid environments
  • Establish benchmarks, analyze failure modes, and improve model robustness

What you’ll bring

  • Master’s degree or higher in a relevant technical discipline
  • Hands-on experience with visual recognition and adapting or evaluating VLMs or visual foundation models
  • Excellent Python and software engineering skills for model and infrastructure integrations
  • Proficiency with PyTorch, TensorFlow, JAX, Hugging Face, NumPy, and OpenCV

View posting at Matroid

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Pay and conditions

Posted pay
$200,000–$350,000
Pay details

$200,000 – $350,000 / year

Location
Palo Alto, CA
Work arrangement
On-site
Employment type
Full-time
Experience requirements
  • 3+ years: industry experience focused on computer vision, AI, robotics, machine learning, natural language processing, or a related discipline (preferred)

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