2 months ago
Palo Alto, CA, USAMid Level
Responsibilities
- Train, fine-tune, orchestrate, evaluate, and deploy vision-centric and vision-language models across industrial domains.
- Deploy end-to-end computer vision systems across cloud, edge, and hybrid environments.
- Define benchmarks and improve AI system accuracy, reliability, latency, throughput, and robustness through quantitative and qualitative evaluation.
- Design and develop industrial-grade imaging systems for consistent, high-quality data collection.
- Integrate Matroid with manufacturing execution systems, PLCs, SCADA systems, quality management systems, safety alert systems, video management systems, and other customer workflows.
- Advise customers on technical scoping, model adaptation, deployment architecture, evaluation, integration, and enablement.
- Lead product training sessions, technical workshops, and deployment playbooks.
- Relay customer feedback to Matroid teams to support customer-centric product development.
Requirements
- 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 object detection, segmentation, tracking, action recognition, anomaly detection, and/or vision-language models.
- Strong Python coding skills for building reliable systems that interact with models, APIs, databases, customer infrastructure, and production workflows.
- Experience with machine learning and computer vision frameworks and tools such as PyTorch, TensorFlow, JAX, Hugging Face, NumPy, or OpenCV.
- Ability to rigorously evaluate AI systems, design benchmarks, analyze failure modes, and improve model performance through data, prompts, architecture, or workflow design.
- Strong oral, written, presentation, collaboration, interpersonal, and technical-to-commercial communication skills.
- Graduate degree in computer vision, artificial intelligence, machine learning, natural language processing, robotics, or a related field is preferred.
- Previous forward-deployed engineering, field engineering, professional services, consulting, solutions engineering, or other customer-facing technical experience is preferred.
- Experience deploying AI systems in industrial, manufacturing, aerospace, logistics, security, or other operational environments is preferred.
- Experience with spatial-temporal reasoning, open-world visual recognition, 3D visual understanding or reconstruction, agentic workflows, or high-growth technology startups is preferred.
Benefits
- Competitive pay and equity.
- Gym membership reimbursement.
- Free lunch, healthy drinks, and snacks every day.
- Medical, dental, and vision insurance with 100% paid premiums.
- Flexible schedule.
- Budget for hardware or software that improves effectiveness.
- Learning resources covering software engineering, computer vision, VLMs, LLMs, and multimodal AI.
- Work from Matroid's new downtown Palo Alto office, located near Caltrain and Stanford University.
About Matroid
Matroid builds an end-to-end computer vision platform that lets enterprises create and deploy video detection models to find objects, actions, and events without additional programming. It supports real-time monitoring and integrates with VMS, MES, and PLC systems to drive automated responses. The privately held company, founded in 2016 and headquartered in Palo Alto, serves manufacturing, industrial IoT, government, and security markets, offering enterprise software with implementation and ongoing support services.