The Microsoft AI for Good Research Lab is seeking a Software Engineer to join their team, working alongside Data Scientists, Engineers, and researchers to develop innovative solutions that have a real-world impact. This role involves designing and delivering data platforms and services that align with Microsoft's AI for Good mission. The engineer will report to the Director of Data Architecture and collaborate with various teams across Microsoft. The position emphasizes a culture of inclusion, growth, and collaboration.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience with Azure AI services, TensorFlow, and/or PyTorch.
• Experienced agile practitioner with experience in Service Oriented Architectures (SOA) and/or REST.
• Hands-on experience creating Proof of Concepts and Minimum Viable Products (MVPs) for customers that lead to production deployments.

• Design and implement cloud architectures that support data science and experimentation projects.
• Design and develop cloud-based solutions for applied AI scenarios.
• Independently use appropriate artificial intelligence tools and practices across the software development lifecycle in a disciplined manner.
• Provide thought leadership for technical architecture design, development, and deployment to support customer and partner data science scenarios.
• Identify technical blockers to accelerate architecture implementations and route non-technical issues for removal by the appropriate party.
• Share ideas, insights, and technical input using a working knowledge of Azure architectures and other relevant products.
• Participate in security peer reviews to identify and mitigate risks, including code reviews and threat modeling.
• Support team functions by resolving service issues, providing technical guidance and assistance to users, conducting investigations, and creating documentation.
• Represent capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
• Help advance the research agenda for AI For Good initiatives.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.