Machine Learning Engineer, ASE Search Team

AIToolboard; United States; On-site; USD 140,000 - 230,000; Full time

Job summary

Apple Services Engineering AI/ML is seeking a Machine Learning Engineer for the ASE Search Team. You will design and deploy large-scale ML systems powering search and discovery across Apple platforms, including the Apple TV app, Siri, and Spotlight.

The role requires strong experience in ML, NLP, IR, and transformer models, with hands-on Python/Java/Go and ML libraries. You will collaborate with cross-functional teams to translate product goals into scalable solutions while upholding privacy

Qualifications

• Experience in ML, NLP, IR, or LLMs.
• Strong coding in Python, Java and Go for scalable ML systems.
• Hands-on with PyTorch, JAX, TensorFlow for training/deployment.
• Knowledge of search/information retrieval fundamentals.
• Experience with Hadoop, Java, Scala, Spark for big data pipelines.
• Experience with search or recommender systems and vector databases.
• Familiarity with A/B testing and data-driven product development.

Responsibilities

• Design and deploy large-scale ML systems powering search and discovery.
• Apply ML, NLP, and generative AI to model user intent and results.
• Build data processing, ML models, retrieval pipelines, and ranking systems.
• Collaborate cross-functionally to productionize ML tech at scale.
• Support Apple TV app discovery, Siri, and Spotlight integrations.

Skills

Python

Java

Go

PyTorch

NLP

IR

LLMs

Education

B.S. in CS/ML

Tools

Hadoop

Spark

Vector DBs

Job description

Jobs / Machine Learning Engineer, ASE Search Team

Machine Learning Engineer, ASE Search Team

Full-time

About the Role

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.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.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.