Microsoft
Software Engineer: Microsoft AI Development Acceleration Program, Redmond
Found: Today
- Participate in the design and the implementation of AI solutions for Microsoft’s products and services.
- Test and review all new and modified code and data pipelines.
- Build out new API infrastructure, endpoints, and data pipelines, as necessary.
- Build reporting and monitoring mechanisms into our solutions.
- Analyze technology industry and market trends and choose their potential impact on the solutions.
- Develop patterns, standards, and guidelines necessary to uphold our design principles and maintain integrity of the product architecture.
- Participate in key project design reviews.
- Collaborate with partner teams for code integration and with product managers to translate functional requirements into working solutions.
- Patent and publish relevant IP and scientific research.
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Candidates must be available to start full-time in July 2026.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field with proven experience 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 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Experience in database systems and systems engineering.
- Experience in designing and developing high-scale distributed systems is a plus.
- Knowledge of cloud environments, machine learning, data visualization, and AI is a plus.
- Energized by creating AI solutions that can positively impact the work and lives of millions of people and excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.