Job description
As a Senior Eng Program Manager, you will orchestrate initiatives to ensure the highest level of data quality for our AIML training. You will collaborate closely with Engineers, Data Scientists, and Machine Learning Engineers to develop, implement, and maintain tools and processes that evaluate and improve the quality of our data. Your insights and strategies will directly influence the accuracy and reliability of our AIML models. You will be responsible for the following: Design, develop, and supervise the implementation of processes and tools to assess the quality of data used in AIML model training. Build metrics and KPIs to evaluate data accuracy, consistency, and relevance. Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data. Lead the integration of quality processes into existing data pipelines. Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement. Provide feedback and ensure alignment of data quality with annotation guidelines. Engage with Machine Learning Engineers to determine how data quality variations influence AIML model performance. Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis. Stay on top of the latest trends and advancements in data quality management. Recommend and implement improvements to our quality processes, tools, and methodologies based on industry best practices. This is a highly reciprocal position that requires working with Engineering, Quality, Training and Production Ops to deliver world-class solutions. And most of all, you are able to manage and lead change effectively while maintaining Apple culture and standards. Interpersonal skills and technical product knowledge and expertise are essential for this role. Applicants should thrive in dynamic, fast paced situations and welcome critical-thinking opportunities.
Address
Cupertino, CA
