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Apple Software Engineer - Large Language Models & Generative AI United States, California, Cupertino 32962021
Yesterday
As a Software Engineer on the Intelligence Platform team, you’ll join a dedicated group of engineers and researchers with diverse responsibilities. You will develop and maintain software systems essential for deploying and operating Large Language Models and Generative AI, building robust, scalable, and efficient solutions that integrate AI models into our platforms. Your role involves automating and testing data pipelines to ensure seamless data flow and processing, implementing testing frameworks to validate the functionality and performance of AI-driven components. Additionally, you will create and maintain pipelines for automating data quality checks and sanitization processes, monitor and assess data quality to identify and resolve issues, and generate comprehensive reports based on data quality metrics to inform decision-making and process improvements. You will also develop dashboards and visualization tools to present data insights effectively. Collaborating closely with machine learning engineers, you will integrate AI models into scalable and efficient software solutions and contribute to all phases of the software development lifecycle, from requirement analysis to design, coding, testing, deployment, and support. Furthermore, you will optimize existing software systems for performance, scalability, and reliability, enhance pipeline efficiency to support rapid deployment and iteration of AI models, and engage with cross-functional teams to understand user needs and deliver features that enhance user experiences.
- Strong proficiency in programming languages such as Python, SWIFT, or C++, and experience with scripting languages like JavaScript or Perl.
- Understanding of data structures, algorithms, and software design principles.
- Demonstrated experience in building and maintaining large-scale software systems, with a keen eye for scalability, efficiency, and robustness.
- Familiarity with Machine Learning concepts and frameworks, particularly with the integration of ML models into software systems.
- Proven ability to work in a fast-paced and collaborative team environment, displaying strong problem-solving skills and a results-driven attitude.
- Experience with cloud computing platforms like AWS, Azure, or GCP, and knowledge of deploying software in cloud environments.
- Solid understanding of software development best practices, including version control (Git), continuous integration (CI), and testing methodologies.
- Experience in automating and testing data pipelines to ensure data integrity and system reliability.
- Proficiency in creating and maintaining data pipelines for data quality checks and sanitization processes.
- Experience in generating reports based on data quality metrics and developing dashboards or visualization tools.
- Continuous learning and development in software engineering and related technologies are encouraged.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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