Applied Scientist II

Join Azure Quantum in our groundbreaking work to create the world's leading quantum computing platform. Our global team combines innovative research and engineering in quantum hardware development with a full software stack to empower customers around the world to harness the power of this quickly-growing technology. You can help us solve some of the world's most challenging problems by bringing your key technical and collaboration skills while learning new quantum-specific expertise as you go!

As a n Applied Scientist II in the Azure Quantum Elements team, you will contribute to our Azure Quantum Elements solution stack to empower computational chemistry and material sciences . You will work within the Azure ecosystem to build scalable, robust generative chemistry solution . This role offers flexibility to work from home up to 50%, while spending the balance of your time interacting with peers in our Redmond office.

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.

Qualifications:

Minimum Qualifications

• Bachelor's Degree in Computer Science , Physical Sciences, or a related field or 2+ years additional industry experience in a related role
  • OR Master's Degree in Computer Science , Physical Sciences, or a related field or 1+ year(s) additional industry experience in a related role
  • OR Doctorate Computer Science , Physical Sciences, or a related field
  • OR equivalent experience.
• 1+ years industry experience developing machine learning solutions.
• 2 + year(s) experience in generative AI model development.
• 2+ year(s) experience in computational chemistry, material science, or biology.

Other Requirement:

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 computational chemistry
• Track record in machine learning applications in chemistry and material sciences.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#quantum

Responsibilities:

• You will develop generative chemistry solutions of the Azure Quantum Elements to empower the adoption of computation in chemical R&D (Research and Development).
• You will work on demonstrating the end-to-end solutions of combining generative chemistry and HPC (High-Performance Computing) to accelerate the scientific discovery lifecycle.
• Through close collaboration with peers, you will learn to define new and promising areas which bridge HPC, AI (Artificial Intelligence), and quantum computing .
• You will help to foster our customer community and ecosystem by engaging directly with customers .