ASMLSoftware Engineer

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.

• 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.  

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.