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Full-time
bachelor degree, postgraduate degree
Posted 55d ago
~40 hrs/week
Responsibilities
Design and deploy large-scale ML systems to power search and discovery across Apple platforms including the Apple TV app, Siri, and Spotlight. Translate cutting-edge research in generative AI and NLP into production features to improve search relevance and personalization.
Requirements
Requires a Bachelor's degree in Computer Science or a related field with industrial experience in search, classification, or recommendation systems. Proficiency in Python, Java, and Go, along with expertise in ML libraries like PyTorch or TensorFlow, is essential.
Full job description
The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog.
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy.
Join us, you’ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you’ll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day.
Description
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms.
You’ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards.
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production—shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.
Minimum Qualifications
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs).
Strong programming skills in Python, Java and Go for building scalable ML systems.
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment.
Ability to translate product goals into technical solutions, improving user experience.
Strong communication, collaboration, and analytical problem-solving skills.
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more.
Industrial experience in search, classification, recommendation systems, or related fields.
Familiarity with A/B testing and data-driven product development.
Passionate about creating products loved by customers at Apple.
Bachelor’s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
Preferred Qualifications
Experience with search or recommendation systems, and semantic retrieval or vector databases.
Expertise in transformer architectures, embeddings, and retrieval or ranking models.
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions.
Exposure to evaluation and safety frameworks for LLM-based systems.
Knowledge of reinforcement learning and other modern post training practices for LLMs.
Passion for developing intelligent, human-centered experiences to enhance content discovery.
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US
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