Microsoft Senior Machine Learning Engineer 

United States, Washington 

997349415

machine learning (ML) to accelerate materials, and biology

a Senior Machine Learning

our culture every day.

Required/Minimum Qualifications

• Bachelor's Degree inin Computer Science, Engineering, Materials Science, Chemistry, or a related fieldAND 4+years of experience working in academia or industryas asoftware development role.
  • OR equivalent experience.
• 4+ years of experience in developing machine learningformaterials and chemistry simulations.
• 4+ years of experience with high-performance computing (HPC).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications

• PhDin Computer Science, Engineering, Materials Science, Chemistry, or a related fieldwith 6+ years of experience working in academia or industryas asoftware development role.

• Competent background in materials science or chemistry.

• Proficient in C++ or CUDA, and familiarity with related libraries and frameworks.

• Methodical problem-solving and critical-thinking abilities.

• Proficient written and verbal communication skills.

• Ability to work independently and collaboratively within a team environment.

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 July 28, 2024.

In this role, you will have the opportunity to:

• at thecutting-edgeof machine learning applications for materials science and chemistry.

• Collaborate with a world-class team of engineers, researchers, architects, and leaders, contributing to your career growth.
• Working closely with cross-functional teams to design and develop machine learning force field for materials and chemistry simulations.
• Developing high-quality, maintainable, and well-documented code in C++ orCompute Unified Device Architecture (CUDA).
• Developing molecular dynamics code.
• Engaging in high-performance computing (HPC) activities and tasks.

• mbody our