A valid work permit is necessary in the US
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Are you a passionate mobile developer who wants to create impactful experiences that make a real difference? Do you thrive in a collaborative environment and enjoy tackling complex technical challenges? If so, then this Software Engineer – Mobile Experience Management role at Samsara is the perfect opportunity for you!
At Samsara, we’re building the connected operations cloud that helps businesses running the physical world – from transportation and logistics to manufacturing and construction – operate more safely, efficiently, and sustainably.
The Mobile Experience Management (MEM) team plays a vital role in this mission. Our MEM solution empowers customers to manage their mobile devices seamlessly, optimizing functionality and features for their specific needs.
In this critical role, you’ll join our talented MEM team and play a key part in developing and maintaining our industry-leading mobile application.
Here’s what you’ll do:
To be successful, you’ll need:
Bonus points if you have:
At Samsara, we offer:
Ready to leverage your mobile development expertise and join a mission-driven company? Apply today!
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
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