Senior Machine Learning Engineer Video Search- Apple Services Engineering

Cupertino, CA - USA

Monthly Salary: Not Disclosed

Posted on: 01-11-2025

Vacancies: 1 Vacancy

Job Summary

As a Senior Machine Learning Engineer on the Video Search team within Apple Services Engineering AI/ML org you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. Youll 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 is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into productionshaping 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).
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.

Experience with video search or recommendation systems and semantic retrieval or vector databases.
Hands-on expertise in PyT orch JAX or T ensorFlow for model training and deployment.
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 music discovery.
Masters degree or higher (or equivalent practical experience) in Computer Science Machine Learning Artificial
Intelligence or a related field.

Required Experience:

Senior IC

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.
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.

Experience with video search or recommendation systems and semantic retrieval or vector databases.
Hands-on expertise in PyT orch JAX or T ensorFlow for model training and deployment.
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 music discovery.
Masters degree or higher (or equivalent practical experience) in Computer Science Machine Learning Artificial
Intelligence or a related field.

Required Experience:

Senior IC

Key Skills

Keyword Research
Web Content
CSS
URL
Link Building
Database
Semrush
Search Results
HTML
Client Relationships
JavaScript
Client Websites
On Page optimization
Technical Reports
Analytics

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About Company

Apple

Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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