Machine Learning Engineer • Senior

Who you are

You have 4+ years of experience building machine learning capabilities across various product areas at scale — you've developed robust systems that enhance user experience and trust in advertising. Your strong proficiency in Java, Python, or Scala allows you to effectively design algorithms and systems that meet complex requirements.

You possess a solid understanding of distributed systems and big data frameworks such as Spark, Kafka, and Flink — your expertise enables you to handle large datasets and optimize performance. You are skilled in defining and executing innovation roadmaps, ensuring that your projects align with business goals and user needs.

Your experience with CI/CD practices means you can build and deploy models efficiently, ensuring that they are integrated seamlessly into existing infrastructures. You have a knack for performance tuning, calibration, and drift detection, which allows you to deliver measurable improvements in product quality and user experience.

You are data-driven and understand the importance of A/B experimentation in refining machine learning models — you thrive on using data to inform decisions and enhance product offerings. Your collaborative spirit helps you work effectively with cross-functional teams, ensuring that all stakeholders are aligned and informed throughout the project lifecycle.

Desirable

Experience with cloud platforms and services is a plus, as it allows you to leverage scalable resources for your machine learning projects. Familiarity with privacy-preserving techniques in advertising can also enhance your contributions to the team.

What you'll do

As a Senior Machine Learning Engineer at Apple Ads, you will be responsible for designing and building machine learning systems that safeguard advertiser trust and enhance invalid traffic protections. You will define and execute an innovation roadmap, focusing on building and deploying models with robust CI/CD practices.

You will lead the development of data pipelines that support the machine learning infrastructure, ensuring that they are efficient and scalable. Your role will involve running A/B experiments to validate the effectiveness of your models and making data-driven decisions to improve performance.

You will collaborate closely with product managers, data scientists, and engineers to ensure that the machine learning solutions you develop align with business objectives and user needs. Your expertise in performance tuning and drift detection will be crucial in delivering measurable improvements in product quality, user experience, latency, and cost.

You will also be expected to mentor junior engineers, sharing your knowledge and expertise to help them grow in their roles. Your contributions will directly impact the success of Apple Ads, helping to create a trustworthy and effective advertising platform.

What we offer

Apple is committed to fostering an inclusive and diverse workplace where everyone can thrive. You will have the opportunity to work on cutting-edge technology that impacts millions of users worldwide. We offer competitive compensation and benefits, along with a collaborative and innovative work environment that encourages personal and professional growth.

Join us at Apple Ads and be part of a team that values trust, connection, and impact in advertising. Your work will help shape the future of how users interact with ads across Apple Services, making a meaningful difference in the advertising landscape.