Software Engineer - AI/ML

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.

We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.

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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Please note this application is only for roles based in our Redmond, Washington office. For roles in other offices in the United States, please see our Careers site. 

Responsibilities

• 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 securit