Software Engineer, Applied ML

## Requirements - Proven experience in applying machine learning algorithms (and familiarity with ML libraries like TensorFlow, PyTorch, Scikit-learn, etc.) to understand real-world data, in particular for cellular - Solid experience in designing, implementing, testing, shipping, and maintaining software - Experience with data mining / data analysis and data visualization ## Nice to Haves - Good understanding of cloud methodologies and cloud computing - Proven experience in Swift/ObjectiveC and iOS frameworks - Solid programming skills in Python - Comfortable with quick context switching between several projects - Excellent debugging and problem-solving skills - Understanding wireless cellular systems - Good data storytelling and communication skills to both technical and non-technical audiences - Excellent communication and cross-functional collaboration skills in highly multi-functional projects - Obsessively passionate and seek to solve everyday problems in innovative ways, with focus on the smallest details that are meaningful to our teams and customers ## What You'll Be Doing - Develop on device iOS features enhancing cellular user experience - Use existing data collection/processing framework solutions to implement end to end ML models that can run off and on device - Building scalable solutions to unleash the potential of cellular centric ML in improving product quality - Implement on device functionalities to enhance telemetry process and data collection - Interact with various software and hardware engineering teams and Data Scientists - Work closely with cellular systems experts on critical and highly impacting topics ## Perks and Benefits - Join the "Wireless Technologies and Ecosystems (WTE)” organization - Be part of an outstanding team of engineers - Work with multi-functional teams to drive innovation - Develop products used by millions worldwide - Work in a multidisciplinary team covering different competences including cellular communications engineering, data engineering, data science, data analytics, software development, and machine learning