> Markdown version of [/jobs/ext/3361387-software-engineer-music-search](https://www.wearedevelopers.com/jobs/ext/3361387-software-engineer-music-search). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Music Search

- **Company:** Apple Inc.
- **Location:** Culver City, CA, United States
- **Salary:** $205,400.0 - $308,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Artificial Intelligence, Automation of Tests, Big Data, Computer Programming, Continuous Integration, Distributed Systems, Apache Hadoop, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Scala (Programming Language), Data Processing, Large Language Models, Apache Spark, Generative AI, Indexer, Information Technology, Data Analytics, Machine Learning Operations, Natural Language Understanding, Golang
- **Published:** September 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=73ca688dfa7cfe96

## About the Role

Experience with search or recommendation systems, and semantic retrieval or vector databases.

Expertise in large scale distributed and client-server systems.

Passion for developing intelligent, human-centered experiences to enhance content discovery.

Minimum Qualifications

Strong programming skills in Python, Java and Go for building scalable distributed and ML systems.

Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs).

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.

## Description

As a Software Engineer on the Music Search team, within the Apple Services Engineering Media Search organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms.

You'll apply complex distributed systems engineering, machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing complex multi-team systems including systems that process large data, rapid query execution, 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 Searchtechnologies into production-shaping how users find music they love.","responsibilities":"Solve complex problems and implement solutions from concept to execution.

Design and implement retrieval and ranking systems using semantics and user context.

Analyze system and model performance to identify opportunities for search quality and performance enhancement.

Develop automated tests for continuous integration and ensure successful production deployment.

Conduct A/B tests to measure search improvements.

Collaborate with cross-functional teams to innovate intelligent Music catalog and library search.

Enhance search recall and ranking for global Apple devices across all platforms and languages.

Utilize big data tech to evaluate content discovery features.

Ensure systems meet Apple's privacy, efficiency, and user experience standards.