Matroid
VLM & VFM Forward Deployed Engineer
Palo Alto, CA
Sponsorship not specifiedDetected 76 days ago
PythonMachine LearningDeep LearningTensorFlowPyTorchNumPyNLPComputer VisionLLMsProject ManagementLogisticsRoboticsElectrical EngineeringCommunicationCollaborationSCADA
About the role
- You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station and a nine-minute walk from Stanford University.
- Integrate Matroid into customer workflows and systems, such as manufacturing execution systems, PLCs, SCADA systems, quality management systems, safety alert systems, and video management systems, with common industrial protocols.
Responsibilities
- Define benchmarks and perform quantitative and qualitative evaluation of the AI systems, including accuracy, reliability, latency, throughput, and/or robustness, and then iterate to meet production requirements.
- Design and develop industrial-grade imaging systems for high-quality, consistent data collection.
- Strong Python coding skills, with the ability to build reliable systems that interact with various models, APIs, databases, customer infrastructure, and production workflows.
- Strong ability to evaluate AI systems rigorously, including designing benchmarks, analyzing failure modes, and improving model performance through data, prompts, architecture, or workflow design.
- You will be a customer advocate, understanding customers' operational requirements and relaying feedback to the broader Matroid team to drive customer-centric development.
Requirements
- Experience with high-growth technology startups.
Skills
- Deploy end-to-end CV systems across a range of environments (cloud, edge, hybrid).
Benefits
- How you'll be doing it You will be a computer vision and multi-modal AI guru, intelligently translating real-world business problems into performant computer vision and/or vision language solutions.
- You will be an AI orchestrator, integrating robust and efficient deep learning systems with third-party systems to deliver real-world impact.
- You will learn a lot along the way, diving into new technologies and the world of computer vision and multi-modal AI, both on your own and during frequent company tech talks.
- What you bring to the table Bachelor's degree in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, or another technical field.
Company info
- Empower customers with AI by designing and leading product training sessions, technical workshops, and deployment playbooks.
- Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base across manufacturing, automotive, logistics, aerospace, data center infrastructure, and security.
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