Microsoft Software Engineer - AI/ML Redmond 

United States, Washington 

254128457

As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.

Required Qualifications

• Bachelor's Degree (or currently pursuing a 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.

Preferred Qualifications

• 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.
  • OR Master's Degree (or currently pursuing a 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.

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

• Learn to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.
• Collaborate with key stakeholders to define feature requirements, integrate feedback to enhance design, and establish feedback loops for continuous improvement based on customer metrics.
• Evaluate AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specify or implement AI platform improvements like fine-tuning or training custom ML models.
• Learn and apply coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilize debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.
• Support the identification of dependencies and design documentation for product features, learn about system interactions and back-end dependencies, and contribute to architectural processes under guidance. Produce code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborate on quality assurance plans, augment test cases, and integrate automation into testing, while understanding the implications of security and compliance in system architecture.
• Contribute to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participate in live service operations, and support telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.
• Develop and apply best practices for reliable code building, understand global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.
• Ensure compliance with security, privacy, safety, and accessibility standards, leverage developer tools for code creation and debugging, contribute to automation in production and deployment, and proactively seek knowledge to improve product availability, reliability, efficiency, and performance at scale.
• Understand and apply Microsoft’s responsible AI practices to ensure the systems you work on meet our commitments to our customers.