Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval

Who you are

You have extensive experience in machine learning engineering, particularly in developing systems that enhance content understanding and retrieval. Your background includes working with large-scale infrastructure and you are adept at building solutions that deliver real-time updates for decision-making processes. You are familiar with the intricacies of ad technology and understand how to create privacy-aware systems that respect user data while optimizing ad delivery.

You possess a strong foundation in machine learning techniques, including fine-tuning large language models (LLMs) and constructing knowledge graphs. Your expertise extends to semantic search and multimodal representation learning, allowing you to extract structured intelligence from unstructured data effectively. You are passionate about leveraging technology to improve user experiences and drive business growth through intelligent advertising solutions.

You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex problems. Your communication skills enable you to articulate technical concepts to non-technical stakeholders, ensuring alignment on project goals and objectives. You are committed to continuous learning and staying updated on the latest advancements in machine learning and advertising technologies.

Desirable

Experience with ad tech or digital advertising platforms is a plus, as is familiarity with privacy regulations and best practices. You may also have a background in software engineering, which complements your machine learning skills and enhances your ability to contribute to system architecture and design.

What you'll do

In this role, you will be at the forefront of developing the next generation of ML-driven signal platforms for Apple Ads. Your primary focus will be on building systems that enhance content understanding and improve ad retrieval and relevance. You will work on creating large-scale infrastructure capable of delivering near real-time signal updates, which will enable smarter decision-making throughout the ad delivery stack.

You will collaborate closely with product managers, data scientists, and software engineers to design and implement machine learning models that drive ad performance. Your work will involve developing rich semantic signals from various sources, including user interactions, queries, and metadata, to support scalable ad retrieval and creative ranking.

You will also contribute to the optimization of marketplace dynamics, ensuring that advertisers can effectively reach their target audiences while maintaining user trust and privacy. Your role will require you to stay engaged with the latest research and trends in machine learning, applying innovative techniques to enhance the effectiveness of Apple's advertising solutions.

What we offer

Apple provides a dynamic work environment where innovation and creativity are encouraged. You will have the opportunity to work on cutting-edge technologies that impact millions of users worldwide. The company values collaboration and offers a supportive culture that fosters professional growth and development.

As part of the Ads Signals Intelligence team, you will play a crucial role in shaping the future of advertising at Apple. The work you do will directly contribute to enhancing user experiences and driving business success for advertisers of all sizes. Apple is committed to maintaining a diverse and inclusive workplace, and we encourage you to apply even if your experience doesn't match every requirement.