Senior Machine Learning Engineer

at  Microsoft

Materials science and chemistry have been the foundation of technological advancements throughout history. The quest for new materials is one of the most significant challenges for societal progression. Our team is at the forefront of this pursuit, leveraging machine learning (ML) to accelerate materials, chemistry, and biology simulations.
Are you passionate about building innovative systems at the intersection of HPC (high-performance computing), AI (Artificial Intelligence) and Quantum? Do you want to be part of the next revolution in computing? Microsoft is looking for you! We are looking for a Senior Machine Learning Engineer. For more information about our team, visit https://quantum.microsoft.com/.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

REQUIRED/MINIMUM QUALIFICATIONS

• Bachelor’s Degree in in Computer Science, Engineering, Materials Science, Chemistry, or a related field AND 4+ years of experience working in academia or industry as a software development role.
• OR equivalent experience.
• 4+ years of experience in developing machine learning for materials 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

• PhD in Computer Science, Engineering, Materials Science, Chemistry, or a related field with 6+ years of experience working in academia or industry as a software 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.
  Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
  Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  Microsoft will accept applications for the role until July 28, 2024.
  Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

RESPONSIBILITIES

In this role, you will have the opportunity to:

• Work at the cutting-edge of 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++ or Compute Unified Device Architecture (CUDA).
• Developing molecular dynamics code.
• Engaging in high-performance computing (HPC) activities and tasks.

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