Senior VLM & VFM Field Engineer

We're hiring a Senior Vision-Language Model (VLM) & Visual Foundation Model (VFM) Field Engineer to build and deploy production-grade deep learning systems using Matroid's platform for a broad range of enterprise customers.

What You Will Do

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.

Why It Might Be a Fit

You'll work directly with customers to understand their operations and turn challenging requirements into reliable computer vision and multimodal AI solutions.

Requirements

• A master's degree or higher in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, robotics, or a closely related technical discipline.
• Strong experience with visual recognition tasks such as detection, segmentation, tracking, action recognition, and anomaly detection, plus hands-on work adapting and evaluating visual foundation models or vision-language models.
• Excellent Python skills and sound software engineering practices for building systems that connect models, APIs, databases, and customer infrastructure.
• Proficiency with relevant tools and frameworks, such as PyTorch, TensorFlow, JAX, Hugging Face, NumPy, and OpenCV.
• Experience developing rigorous evaluations and improving AI performance through better data, model adaptation, prompts, architecture, or workflow design.
• Demonstrated ability to make architecture decisions and resolve reliability, performance, and integration problems in deployed systems.
• Experience leading complex technical projects and collaborating across teams.
• Clear written, verbal, and presentation skills in English, including the ability to explain technical decisions and tradeoffs to both technical and business audiences.

Benefits

• Competitive compensation
• Equity
• Reimbursement for gym memberships
• Daily lunch, drinks, and snacks
• Fully paid premiums for medical, dental, and vision coverage
• Scheduling flexibility to accommodate interests outside work
• A budget for the hardware and software you need to succeed
• Learning resources covering software engineering, computer vision, VLMs, LLMs, and multimodal AI