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Microsoft's Applied Sciences Group is at the forefront of developing groundbreaking technologies for our next-generation hardware and software products. We lead innovations in Artificial Intelligence / Machine Learning, Large Language Models and Computer Vision. Our focus is to envision, plan, and deliver the next generation of cutting-edge AI algorithms in Language Modelling and Generative Image on upcoming devices and operating systems. The Applied Sciences Group is growing, and we have an exciting opportunity for a talented software engineer to contribute to the code for the next generation AI experience for Windows customers. This is a hands-on role that will provide collaboration opportunities throughout the organization. As a Senior Software Engineer on our team, you will play a key role in taking our cutting-edge research into applications that provide delightful experiences for millions of our users worldwide.
Job Responsibility:
Design, build, test, debug, and ship high quality features
Work with appropriate stakeholders to determine requirements, identify the dependencies and develop the design documents
Break down larger work items and provide estimation
Deliver core algorithmic components
Work with engineers and researchers on building solutions for algorithm evaluation, comparison, and visualization
Work on algorithm optimization and productization across different platforms, including NPU, GPU and CPU
Work on the runtime end-to-end integration of individual processing components
Follow ongoing research – papers, conferences, and academia in the field
Apply engineering best practices throughout the software development lifecycle
Demonstrate initiative to incubate new ideas
Prepare prototypes and demos for showcasing potential of new technology or features
Mentor interns and junior team members
Requirements:
Bachelor's Degree in Computer Science or related technical field AND solid technical engineering experience with coding in C++ and Python
OR equivalent experience
High-level understanding of machine learning paradigms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Solid experience in C++
Solid experience in Python
Experience with shipping a product end to end
Experience in low-level performance optimizations
Experience with deep learning frameworks (e.g. PyTorch, TensorFlow)
Experience with model conversion and optimization toolkits for different hardware platforms (e.g. ONNX, OpenVINO, QNN, …)
Experience with version control systems (e.g. Git), build systems (e.g. CMake) and CI/CD