2 дня назад
Software Engineer, Music Search (AI/ML)
205 400 - 308 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Music Search (AI/ML): Building and deploying large-scale machine learning, retrieval, and ranking systems for music search and discovery across Apple platforms with an accent on natural language understanding, personalization, and user privacy. Focus on optimizing search relevance and performance, developing big data pipelines and generative AI features, and validating improvements through A/B testing at global scale.
Location: Culver City, California, United States
Base pay: $205,400–$308,500 per year.
Company
develops consumer products and services, including Music, Siri, and Spotlight.
What you will do
- Design and deploy large-scale machine learning systems for search and discovery across platforms.
- Build retrieval and ranking systems using semantics, user context, and personalization.
- Develop data processing systems, machine learning models, retrieval pipelines, and ranking systems operating at global scale.
- Analyze system and model performance, improve search recall and ranking, and conduct A/B tests.
- Develop automated tests, support continuous integration, and ensure successful production deployment.
- Collaborate with product, design, and other cross-functional teams to bring advanced search technologies into production while meeting privacy and user experience standards.
Requirements
- Strong programming skills in Python, Java, and Go for scalable distributed and machine learning systems.
- Experience with machine learning, natural language processing, information retrieval, or large language models.
- In-depth knowledge of search fundamentals, including indexing, ranking, retrieval algorithms, and big data pipelines.
- Experience with Hadoop, Java, Scala, Spark, or similar big data technologies.
- Industrial experience in search, classification, recommendation systems, or related fields, plus familiarity with A/B testing.
- Bachelor’s degree or higher, or equivalent practical experience, in computer science, machine learning, natural language processing, artificial intelligence, or a related field.
Nice to have
- Experience with semantic retrieval, vector databases, search systems, or recommendation systems.
- Expertise in large-scale distributed and client-server systems.
- Experience developing intelligent, human-centered content discovery experiences.
Culture & Benefits
- Comprehensive medical and dental coverage and retirement benefits.
- Employee stock programs, including discretionary restricted stock units and an employee stock purchase plan.
- Discounted products, free services, and reimbursement for eligible education expenses.
- The role may include discretionary bonuses or commission payments and relocation support.
- Collaborative, cross-functional environment focused on innovation, craftsmanship, privacy, and end-to-end ownership.
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