Job Overview:
Apple’s Software and Services team is seeking a Machine Learning Engineer to join the AI/ML evaluation organization, focusing on the development of cutting-edge evaluation technologies for conversational AI assistants and AI agents. The role involves architecting and maintaining innovative evaluation solutions for large-scale statistical assessment of GenAI-powered products, models, and AI agents. Key responsibilities include partnering with cross-functional teams to translate evaluation needs into technical solutions, designing scalable systems for statistical analysis, driving system integration into ML model and AI agent CI/CD pipelines, and developing monitoring solutions for platform performance and AI agent reliability. The ideal candidate will have strong software engineering capabilities, expertise in Python and distributed systems, and a passion for enabling data-driven decisions that enhance Apple product experiences for millions of users.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Machine Learning Engineer – ML Systems and Evaluation Engineering position at Apple, focus on highlighting your extensive experience in software development, particularly in large-scale, data-intensive frameworks and distributed systems. Emphasize your expertise in Python and at least one other object-oriented language, as well as your hands-on experience with service-oriented architecture and backend development. Showcase projects where you designed and implemented scalable APIs, microservices, or platform infrastructure. Additionally, detail your involvement in ML lifecycle processes, such as data preprocessing, model training, and evaluation methodologies. If you have experience with AI agent evaluation, including multi-step reasoning assessment or tool usage validation, make sure to include these as they are highly relevant to the role. Quantify your achievements where possible, such as the scale of systems you’ve worked on or the impact of your solutions on product quality and reliability.
During the interview for the Machine Learning Engineer position at Apple, expect to discuss your technical expertise in depth, particularly around large-scale evaluation solutions and distributed systems. Be prepared to walk through your experience with Python and other programming languages, as well as your approach to designing scalable backend systems. The interviewer will likely probe your understanding of ML lifecycle processes and your ability to integrate evaluation software into CI/CD pipelines. Practice explaining complex technical concepts clearly, as communication skills are a key requirement. You may also be asked to solve real-world problems related to AI agent evaluation or statistical assessment methodologies. Demonstrate your strategic thinking by discussing how you balance rapid iteration with maintaining platform reliability. Finally, show your passion for data-driven decision-making and how it enhances product experiences, as this aligns with Apple’s mission for AI-powered innovations.