微软Software Engineer
任职要求
Required/Minimum Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • Experience with A/B testing methodologies and experimentation platforms. • Proficiency in at least one big data technology (e.g., Hadoop, Spark) and experience with job tuning for large-scale data processing. • Hands-on experience designing, building, and maintaining distributed systems or compute pipelines. • Coding proficiency in at least one programming language such as C++, C#, Java, Python, or similar. • Ability to work collaboratively in a diverse, cross-functional engineering environment. Preferred Qualifications • Master’s degree in Computer Science, Engineering, or a related technical field. • Experience supporting both first-party and third-party customers in a cloud or distributed systems environment. • Familiarity with Microsoft Azure, Azure Data Lake, Azure Synapse, or similar…
工作职责
• Design, build, and maintain scalable compute pipelines for A/B scorecard calculation, supporting both first-party and future third-party customers. • Develop and optimize distributed systems for high-performance experimentation infrastructure. • Implement and tune big data technologies (e.g., Hadoop, Spark) to ensure efficient processing of large-scale experiment data. • Collaborate with engineers, product managers, and stakeholders to define requirements and deliver impactful experimentation solutions. • Apply A/B testing methodology to drive data-driven decision-making across Microsoft. • Monitor, troubleshoot, and improve the reliability and performance of experimentation pipelines. • Contribute to a culture of innovation, continuous learning, and knowledge sharing within the team.
Assist in designing, coding, and testing software applications based on project requirements. Participate in code reviews and contribute to team knowledge sharing. Collaborate with cross-functional teams including QA, product, and design teams. Write clean, maintainable, and well-documented code. Troubleshoot, debug, and upgrade existing systems. Stay updated with new technologies and development practices.
As a software engineer, you will: • Design, develop, and maintain new features and enhance existing systems.Write clean, testable, and maintainable code. • Troubleshoot live-site issues, deploy fixes, and improve system reliability. • Work collaboratively with cross-functional teams to drive project success. • Ensure security compliance by configuring, updating, and maintaining security tools and standards.
Responsibilities include • Drive omni model development with SOTA ASR and TTS • Develop SOTA talking avatar models for zero shot and fine tune scenario • Familiar with latest GenAI modelling technique like diffusion and language modelling • Collaborate with cross-functional teams to integrate AI models into various applications and platforms. • Conduct research and stay updated with the latest advancements in AI and machine learning to continuously improve our models. • Optimize and fine-tune AI models for performance, scalability, and accuracy. • Participate in code reviews, provide constructive feedback, and contribute to the overall improvement of our development processes.
• 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. • 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.