System Reliability Test Engineer
SymboticFull Time
Entry Level & New Grad, Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need an academic or industry background in Engineering, preferably Computer Science, Mathematics, or other Engineering fields, 2+ years developing with Python, C++, Java or other scripting languages, and 1-3 years in hardware labs or manufacturing environments. Additional requirements include experience managing risk and operating robots safely, along with strong project management, interpersonal skills, attention to detail, and ownership.
The role involves building out Scale’s data factory in Mexico.
This information is not specified in the job description.
Scale AI promotes an inclusive and equal opportunity workplace where everyone can bring their whole selves to work.
Strong candidates will have hands-on experience in Robotics, AI, Computer Vision, building facilities, logistics, lab networks, data pipelines, or large-scale data collection, along with intellectual curiosity, empathy, and the ability to operate autonomously.
AI platform for data and models
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.