The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Video Search team.\\n\\nOur 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.\\n\\nJoin 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.
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.\n\nYou'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.\n\nThis 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.
4+ years of industry or practical experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs).\nStrong programming skills in Python, Java and Go for building scalable ML systems.\nHands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment.\nAbility to translate product goals into technical solutions, improving user experience.\nStrong communication, collaboration, and analytical problem-solving skills.\nIn-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.\nIndustrial experience in search, classification, recommendation systems, or related fields.\nFamiliarity with A/B testing and data-driven product development.\nPassionate about creating products loved by customers at Apple.\nMaster's degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
Experience with search or recommendation systems, and semantic retrieval or vector databases.\nExpertise in transformer architectures, embeddings, and retrieval or ranking models.\nExperience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions.\nExposure to evaluation and safety frameworks for LLM-based systems.\nKnowledge of reinforcement learning and other modern post training practices for LLMs.\nPassion for developing intelligent, human-centered experiences to enhance content discovery.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 1450608e9d2146404f2ad80a80c84751
- Posted 4 days ago
Never miss an opportunity! Create an alert based on the job you applied for.