$200,000–$260,000
VLM & VFM Forward Deployed Engineer
Updated
$150,000–$300,000Palo Alto, CAOn-site
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
Median $187K
This job$150K–$300KTypical senior FDE payMiddle 50% of 1,808 postings$160K–$217KThe work
Builds what the customer runs
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales
- Proof of concept (not covered)
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
Tools
Less common in FDE jobs
- Covers pre-sales24%
- On-site37%
Share of US FDE postings that state each fact.
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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