As Machine Engineer on the Music Search team within Apple Services Engineering (AIML) you will help shape the future of how millions of users discover and experience music across Apple platforms. Youll design and deploy models that combine machine learning natural language understanding and generative AI to deliver more intuitive and personalized search will build systems that understand user intent rank results intelligently and bring the magic of LLMs and transformer-based models into real-world applications. This is a hands-on role where your work will directly impact how users interact with Apple Music app Siri Spotlight and other experiences across the Apple ecosystem.
- 2 years of experience in machine learning natural language processing information retrieval or LLM-based systems.
- Strong programming skills in Python or C with experience building scalable ML systems.
- Deep understanding of transformer architectures embeddings and retrieval or ranking models.
- Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks.
- Familiarity with prompt design contextual retrieval or RAG-style architectures.
- Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience.
- Excellent communication collaboration and analytical problem-solving skills.
- Experience with music media or recommendation systems.
- Background in semantic retrieval vector databases or hybrid search architectures.
- Hands-on experience with PyT orch JAX or TensorFlow for model training and deployment.
- Exposure to evaluation and safety frameworks for LLM-based systems.
- Understanding of reinforcement learning from human feedback (RLHF) or preference modeling.
- Passion for crafting intelligent human-centered experiences that enhance music discovery.
As Machine Engineer on the Music Search team within Apple Services Engineering (AIML) you will help shape the future of how millions of users discover and experience music across Apple platforms. Youll design and deploy models that combine machine learning natural language understanding and generati...
As Machine Engineer on the Music Search team within Apple Services Engineering (AIML) you will help shape the future of how millions of users discover and experience music across Apple platforms. Youll design and deploy models that combine machine learning natural language understanding and generative AI to deliver more intuitive and personalized search will build systems that understand user intent rank results intelligently and bring the magic of LLMs and transformer-based models into real-world applications. This is a hands-on role where your work will directly impact how users interact with Apple Music app Siri Spotlight and other experiences across the Apple ecosystem.
- 2 years of experience in machine learning natural language processing information retrieval or LLM-based systems.
- Strong programming skills in Python or C with experience building scalable ML systems.
- Deep understanding of transformer architectures embeddings and retrieval or ranking models.
- Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks.
- Familiarity with prompt design contextual retrieval or RAG-style architectures.
- Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience.
- Excellent communication collaboration and analytical problem-solving skills.
- Experience with music media or recommendation systems.
- Background in semantic retrieval vector databases or hybrid search architectures.
- Hands-on experience with PyT orch JAX or TensorFlow for model training and deployment.
- Exposure to evaluation and safety frameworks for LLM-based systems.
- Understanding of reinforcement learning from human feedback (RLHF) or preference modeling.
- Passion for crafting intelligent human-centered experiences that enhance music discovery.
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