Deep Learning Field Engineer

About the role

Matroid is seeking a Deep Learning Field Engineer to design, train, and deploy cutting‑edge computer‑vision systems for enterprise customers. The role is based in downtown Palo Alto and involves close collaboration with customers to integrate AI solutions into their inspection workflows.

Key responsibilities

• Train state‑of‑the‑art CV models for tasks such as object detection, anomaly detection, segmentation, action recognition and tracking.
• Deploy end‑to‑end CV systems across cloud, edge and hybrid environments and integrate them with manufacturing execution, safety alert and video management systems.
• Perform quantitative and qualitative evaluations, iterate on models, and ensure performance meets customer requirements.
• Act as the technical expert for scoping, training, deployment and integration, and lead product training sessions for customers.

Required profile

• Bachelor’s degree in computer science, computer engineering, electrical engineering or a related technical field.
• Strong software engineering abilities and solid communication skills for both technical and commercial audiences.
• Experience translating business problems into performant computer‑vision solutions.

Required skills

• Experience training and deploying CV models using TensorFlow or PyTorch.
• Proficiency in modern machine‑learning frameworks and deep‑learning techniques.

What we offer

• Competitive salary and equity.
• Medical, dental and vision insurance with 100% premiums paid.
• Gym membership reimbursement, free lunch, healthy drinks and snacks.
• Flexible schedule, hardware/software budget, and resources for continuous learning.