Microsoft Senior Applied AI Engineer 

United States, Washington 

126639315

Qualifications - Required:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in shipping at least one large-scale ML/AI-based service or application, preferably in the security domain on cloud platforms (Azure, AWS, GCP, etc.)

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

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master'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.

• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Define research goals in collaboration with research teams informed by practical engineering concerns.Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Build industry leading systems that are highly available, intuitive, scalable, and secure
• Own product architecture and collaborate with product managers, designers, researchers, and other engineers to set the technical direction and create software that optimizes for business metrics
• Produce highly reliable and performant code with appropriate monitoring and alerting
• Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices
• Follow release management policies to ensure data integrity, compliance, and system stability
• Analyze and improve efficiency, scalability, and stability of various system resources