Microsoft Principal Software Engineer - AI Transformation Microsoft Research 

United States, Washington 

21850954

This position has the potential to expand in the future to include people manager responsibilities.

Required/Minimum Qualifications

• Bachelor's degree in computer science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience

• 4+ years of industry experience in applying, implementing, or developing algorithms or systems for ML, AI, or statistics

• 2+ years of industry experience with common ML engineering programming languages and platforms,such asPython and

Qualifications

• Master’s or doctorate in computer science or a related technical field

• Experience with large language model architectures, inference, and fine-tuning

• Experience with ML infrastructure including job schedulers, big data storage, low latency interconnects, and large clusters of GPUs

• Experience with containerization and cloud computing technologies

• Experience working in an academic or industrial research environment and communicating effectively within such an environment

• Ability to work independently and ramp up quickly on complex, unfamiliar code

• A track recordof learning and adapting tonew technologies, ideally in a variety of software engineering fields

• Experience building successful solutions in ambiguous problem spaces

• Experience with engineering practices, continuousintegrationand continuous delivery/continuous deployment (CI/CD) pipelines and Git

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until December 20, 2024.

• Be a leading member of a central team of engineers and data scientists in the MSR Redmond lab.

• cutting-edgeprojects in machine learning (ML) and artificial intelligence (AI) for transforming the way research is done.

• Design and implement platforms and services for supporting AI initiatives and solutions.

• Lead by example and mentor others to produce extensible and maintainable code.

• Keep abreast of current developments in AI and software engineering and share knowledge with others on the team.

• Partner withappropriate stakeholderstodetermineuser requirements for a set of scenarios.

• Embody ourand