Microsoft Software Engineer Microsoft AI Development Acceleration Program Cambridge 

United States, Massachusetts, Cambridge 

836069372

Required Qualifications:

• Bachelor's Degree in Computer Science (or currently pursing a degree) or related technical field AND 2+ years technical engineering experience with 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 2025. Unfortunately, we cannot accommodate earlier start dates.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ 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 2+ 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 database systems and systems engineering.
• Experience in designing and developing high-scale distributed systems is a plus.
• Knowledge of cloud environments is a plus.
• Knowledge of machine learning, data visualization, and AI is a plus.
• Proficient written and oral communication skills.
• You are energized by creating AI solutions that can positively impact the work and lives of millions of people.
• You are excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
• You believe that AI is a team sport.
• You love being an active member of a diverse and inclusive team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Lead the design and the implementation of AI solutions for Microsoft’s products and services. Build reporting and monitoring mechanisms into our solutions. Participate in key project design reviews.
• Manage time across more than one project while facilitating knowledge sharing across projects. Provide mentorship to more team members.
• Take larger scope on projects, provide breakdown of tasks (to assist engineers), and estimate work effort.
• Test and review all new and modified code and data pipelines. Build out new API infrastructure and endpoints, data pipelines, as necessary.
• 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.
• 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.
• Embody our and .