Senior VLM & VFM Field Engineer - AI Deployment Leader

Matroid

Palo Alto (CA)

On-site

USD 180,000 - 240,000

Full time

20 hours ago

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Benefits offered by this job

Equity

Direct impact

Gym reimbursement

Lunch & snacks

Med/Dental/Vision

Flexible schedule

Hardware budget

Learning resources

Palo Alto office

Job summary

Matroid is seeking a Senior Vision‑Language Model (VLM) & Visual Foundation Model (VFM) Field Engineer to design and deploy production‑grade deep learning systems using Matroid’s platform for a broad range of enterprise customers. You will work directly with customers to understand their operations and translate challenging requirements into reliable computer vision and multi‑modal AI solutions.

This role is based at our downtown Palo Alto office, near Caltrain and Stanford.

Qualifications

Master’s degree or higher in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, robotics, or a closely related technical discipline.

Responsibilities

Build and deploy deep learning systems on Matroid using visual foundation models, vision–language models, and/or specialized vision-centric models for object detection, segmentation, tracking, anomaly detection, spatiotemporal reasoning, and multimodal understanding and retrieval.
Own technical delivery from scoping and feasibility assessment through model selection, fine-tuning, prompt engineering, system architecture, and production deployment.
Develop deep learning systems that can operate in cloud, edge, and hybrid environments, optimizing inference latency, GPU utilization, memory consumption, and throughput while balancing accuracy, cost, and maintainability.
Establish representative evaluation datasets and task-specific benchmarks. Analyze failure modes and improve model accuracy and robustness through data curation, targeted augmentation, and DL system adaptation.
Develop imaging and data collection systems, selecting cameras, optics, illumination, and capture configurations that support reliable visual recognition in demanding environments.
Connect Matroid to customer equipment and software, including PLCs, manufacturing execution systems, SCADA, quality management platforms, safety alerting, and video management systems.
Guide customers through technical decisions and troubleshoot complex issues across model behavior, inference pipelines, infrastructure, and integrations.
Review architecture and code, and build reusable tools for model evaluation, inference, and deployment.
Work with product and engineering colleagues to translate deployment insights into improvements in model capabilities, performance, and platform workflows.
Deliver technical workshops, training, and documentation that help customers evaluate, adopt, and operate their AI systems successfully.