Senior Machine Learning Research Engineer
Description For Senior Machine Learning Research Engineer
Join Microsoft's Strategic Planning and Architecture (SPARC) team within Azure Hardware Systems & Infrastructure (AHSI) organization, powering Microsoft's "Intelligent Cloud" mission. This role focuses on innovative hardware designs for cloud growth, combining technical capabilities with business strategy. As a Senior Machine Learning Research Engineer, you'll work on model development, data type analysis, and ML/HW co-design. The position involves developing cutting-edge neural network architectures, optimizing machine learning systems, and collaborating across teams to advance Microsoft's cloud infrastructure. You'll be part of the team delivering core infrastructure for services like Azure, Office 365, Teams, and Xbox Live, impacting billions of users worldwide. The role offers a unique opportunity to shape the future of cloud computing through machine learning innovation.
Responsibilities For Senior Machine Learning Research Engineer
- Driving model/HW codesign
- Developing and analysing novel NN architectures
- Inventing novel low-precision data formats
- Inventing novel model architectures
- Collaborating with data scientists and ML researchers
- Interfacing with HW architecture teams
- Interfacing with SW framework teams
Requirements For Senior Machine Learning Research Engineer
- MS/PhD in Machine Learning, Computer Architecture/Systems, High-Performance Computing or related areas
- Extensive experience in ML systems/Model optimizations/Efficient model architecture
- Track record of original research and delivering novel results in ML systems area
- Hands on experience with frameworks such as PyTorch/TensorFlow/TensorRT
- Deep knowledge of CNN/transformer architecture and optimization strategies
- Strong programming skills in Python/C/C++
- Experience in implementing low-level linear algebra/BLAS kernels
- Outstanding communication skills
Benefits For Senior Machine Learning Research Engineer
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
