4 days ago
Palo Alto, CA, USAMid Level
Responsibilities
- Evaluate current computer vision and deep learning research and determine which techniques to adapt for the platform.
- Design, adapt, and train models for detection, segmentation, anomaly detection, tracking, video understanding, vision-language, and 3D reconstruction.
- Build adaptive and reliable training systems for previously unseen datasets.
- Turn models and techniques into platform capabilities that customers can train and deploy on their own data.
- Optimize model architectures and deployment systems for fast, cost-efficient inference on cloud GPUs and edge devices.
- Collaborate with product, infrastructure, and field engineering teams to bring models from research to customer impact.
Requirements
- Master’s degree in Computer Science, Software Engineering, Mathematics, or a related field, or a bachelor’s degree with equivalent experience.
- At least 3 years of industry and/or academic experience in deep learning, computer vision, and software engineering.
- Experience building ML systems and capabilities rather than only scripts or one-off experiments.
- Familiarity with modern architectures and techniques, including the latest foundation models.
- Strong software engineering skills in Python and PyTorch.
- Strong oral, written, presentation, collaboration, and interpersonal communication skills.
- Preferred qualifications include significant computer vision and deep learning research experience, real-world computer vision applications, production model optimization and serving, 3D reconstruction, multi-tenant ML products, open-source ML tooling, and startup experience.
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 hours, with occasional days away when needed.
- Budget for hardware or software that improves effectiveness.
- Regular technology talks on computer vision, deep learning, and engineering.
- Onsite five days per week at the downtown Palo Alto office, near Stanford and Caltrain.
Categories
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.