Microsoft is looking to hire Software Engineers to develop software, tools, and code for AI and/or ML projects, including large and small language models (LLMs/SLMs). The goal is to create and implement extensible and maintainable code and prompts for products, services, or features, while ensuring quality, security, privacy, safety, and accessibility, and adhering to responsible AI practices.
Requirements
- Proven experience coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python.
- Demonstrated interest in/experience with AI/ML technologies.
- Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.
- Produces code to test hypotheses for technical solutions and assist with technical validation efforts.
- Integrates automation into testing, while understanding the implications of security and compliance in system architecture.
- Contributes to data analysis and feedback integration for product engineering decisions.
- Supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.
Responsibilities
- Develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs).
- Create and implement extensible and maintainable code and prompts for a product, service, or feature.
- 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.
- 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.
- 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.
- Consider the impact of AI technology, including applying Microsoft’s responsible AI practices.
- Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions.
Other
- Learns 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.
- Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.
- Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance.
- Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance.
- Contributes to live service operations, and supports communication with key partners across Microsoft for user experience enhancement and partner needs.
