Software Engineer, ML Infrastructure
Serve Robotics- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor's degree in Computer Science, Robotics, or a related field, along with a strong understanding of machine learning models, particularly visual models such as SAM and DINO. They should also have strong software skills and full stack knowledge, enabling them to develop inference infrastructure, web UIs, and perform database operations, complemented by general robotics knowledge and experience.
The Robotics Machine Learning Engineer will train, fine-tune, and deploy visual and language foundation models across the company's stack, manage data in databases, and optimize the flow of information from robots to maximize machine learning potential, contributing to the responsible delivery of robotic technologies and the future of automation.
Leases AI-powered robots for manufacturing
Tutor Intelligence specializes in leasing AI-powered robots for manufacturing and packaging tasks to factories in the United States. Their robots can perform various essential functions such as conveyor loading, end-of-line packing, kitting, palletization, and depalletization. The leasing model operates on a 12-hour flat rate, allowing factories to use the robots without the financial burden of purchasing them outright. This flexibility enables clients to adjust their automation needs based on demand, making it particularly appealing to small and medium-sized enterprises as well as larger facilities. Tutor Intelligence's hybrid human-artificial intelligence engine allows for rapid deployment of robots, reducing setup time from months to just minutes. The company's goal is to enhance operational efficiency in the industrial automation sector while providing cost-effective solutions for factories.