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VLM & VFM Forward Deployed Engineer

$150,000–$300,000Palo Alto, CAOn-siteFull-time

This forward-deployed engineering role builds and deploys vision-centric and vision-language AI systems for industrial customers across cloud, edge, and hybrid environments.

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At a glance

Posted base pay

$150K–$300KAbove the median

Midpoint $225K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

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Conditions

Location
Palo Alto, CA
Work arrangement
On-site
Employment type
Full-time
Pay
Pay details

$150,000 – $300,000 / year

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What you’ll do

  • Train and deploy vision-centric and vision-language models across industrial domains and cloud, edge, and hybrid environments.
  • Define benchmarks, evaluate production AI systems, analyze failure modes, and improve accuracy, reliability, latency, throughput, and robustness.
  • Design industrial-grade imaging systems for consistent, high-quality data collection.
  • Integrate Matroid with manufacturing, control, quality, safety, and video-management systems using common industrial protocols.

What you’ll bring

  • Bachelor’s degree in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, or another technical field.
  • Experience with modern visual recognition models, including detection, segmentation, tracking, action recognition, anomaly detection, or vision-language models.
  • Strong Python skills for building reliable systems that interact with models, APIs, databases, customer infrastructure, and production workflows.
  • Experience with machine learning and computer vision tools such as PyTorch, TensorFlow, JAX, Hugging Face, NumPy, or OpenCV.

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