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Principal Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Machine Learning, Biomedical Research, Clinical Development, AI Applications, C, C++, C#, Java, JavaScript, Python, Software Development, Collaboration, Engineering Strategy, Data Analysis, Responsible AI

Industry

Software Development

Description

The ideal candidate will collaborate with a team of top-notch scientists, engineers, and biomedical practitioners to: Design engineering strategy and implement software infrastructures for rapid development and experimentation of sophisticated machine learning systems with large datasets Collaborate with external partners (healthcare providers, pharmaceutical companies, biotech, etc.) to deploy and improve our models, tools and assets Collaborate with cross-functional teams to design and implement state-of-the-art systems by considering medical factors and responsible AI principles. Bachelor's Degree in Computer Science or Biomedical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or Biomedical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience in AI applications to real-world data and real-world evidence, including use cases related to biomedical research and clinical development 3+ years of experience in clinical trial software development and deployment

Responsibilities

The candidate will design engineering strategies and implement software infrastructures for machine learning systems. They will collaborate with external partners and cross-functional teams to improve models and tools while considering medical factors and responsible AI principles.