Machine Learning Engineer, ASE Search Team

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.