Machine Learning Research Engineer
Description For Machine Learning Research Engineer
Join Microsoft's Azure Hardware Systems & Infrastructure (AHSI) organization's Strategic Planning and Architecture (SPARC) team, where you'll be at the forefront of innovating hardware designs for Microsoft's cloud growth. This role combines technical expertise with cross-team collaboration and business strategy. As a Machine Learning Research Engineer, you'll work on both model development and hardware implementation, focusing on neural networks and ML/HW co-design. The position is part of the team responsible for Azure's hardware roadmap from architecture concept through production. You'll be working with cutting-edge ML technologies, optimizing model architectures, and collaborating with various teams to drive innovation in cloud infrastructure. The role offers competitive compensation, comprehensive benefits, and the opportunity to impact Microsoft's "Intelligent Cloud" mission, supporting services like Azure, Office 365, Xbox Live, and more. This position allows up to 100% work from home with some travel (0-25%) and requires strong technical skills in machine learning, programming, and system architecture.
Responsibilities For 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 Machine Learning Research Engineer
- Master's Degree in relevant field AND 1+ year(s) related research experience OR equivalent experience
- Must pass Microsoft Cloud background check upon hire/transfer and every two years
- Master's Degree/PhD in Machine learning, Computer Architecture/Systems, High-Performance Computing or related areas preferred
- 2+ years 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
- Solid programming skills in Python/C/C++
- Experience in implementing low-level linear algebra/BLAS kernels
- Outstanding communication skills
Benefits For 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
