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Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
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Apple • Cupertino, California, United States
Apple is seeking a Senior Machine Learning Engineer to develop ML-driven signal platforms for advertising. You'll work with technologies like Python and TensorFlow to enhance ad retrieval and relevance. This role requires expertise in machine learning and data engineering.
You have 5+ years of experience in machine learning engineering, with a strong focus on developing scalable systems that leverage data for decision-making. Your expertise in Python and machine learning frameworks like TensorFlow and Keras allows you to build robust models that drive business impact. You understand the intricacies of natural language processing (NLP) and have experience in building content understanding systems that enhance user experiences. Your background in data engineering equips you with the skills to manage and optimize data pipelines, ensuring high-quality data for model training and evaluation. You are comfortable working with large-scale infrastructure and have a passion for developing innovative solutions that respect user privacy while delivering value to advertisers. You thrive in collaborative environments, working closely with cross-functional teams to achieve common goals.
Experience with large language models (LLMs) and knowledge graph construction is a plus. Familiarity with ad tech and the advertising ecosystem will help you understand the context of your work better. You are eager to stay updated with the latest advancements in machine learning and are open to exploring new methodologies that can enhance the effectiveness of ad delivery systems.
In this role, you will be at the forefront of developing the next generation of ML-driven signal platforms for Apple Ads. You will focus on building systems that enable real-time signal updates, enhancing the relevance and effectiveness of ads across Apple Services. Your work will involve extracting structured intelligence from unstructured data sources, including user interactions and metadata, to support scalable ad retrieval and creative ranking. You will collaborate with product managers and engineers to define the requirements and specifications for new features, ensuring that the solutions you develop align with Apple's mission of delivering high-performing, privacy-first advertising experiences. You will also be responsible for fine-tuning large language models and implementing multimodal representation learning techniques to improve content understanding and ad relevance.
Apple provides a dynamic work environment where innovation is encouraged, and your contributions will directly impact the advertising landscape. You will have access to cutting-edge technologies and resources to help you succeed in your role. The company values diversity and inclusion, fostering a culture where all employees can thrive. Competitive compensation and benefits packages are offered, along with opportunities for professional growth and development within the organization. Join us in shaping the future of advertising at Apple, where your work will help connect users with the content they care about while supporting advertisers in their growth journeys.
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