Apple Services Engineering AI/ML organization is hiring a Senior Machine Learning Engineer to join the Video Search team to build the core intelligence that powers video search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love.
Requirements
- 4+ years of industry or practical 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.
- 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.
Responsibilities
- design and deploy large-scale ML systems that power search and discovery across Apple platforms.
- apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results.
- building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards.
- Solve complex research problems and implement solutions from concept to execution.
- Design and implement retrieval and ranking systems using semantics and user context.
- Build and deploy ML and LLM models to improve search relevance and personalization.
- Develop automated tests for continuous integration and ensure successful production deployment.
Other
- Ability to translate product goals into technical solutions, improving user experience.
- Strong communication, collaboration, and analytical problem-solving skills.
- Passionate about creating products loved by customers at Apple.
- Experience with video search or recommendation systems, and semantic retrieval or vector databases.
- Passion for developing intelligent, human-centered experiences to enhance music discovery.
