Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• applied machine learning experienceintermediate
• solid engineering skillsintermediate
• analyze search ranking and relevanceintermediate
• identify areas of improvementintermediate
• lead projects from research to productionintermediate
• design machine learning modelsintermediate
• train machine learning modelsintermediate
• deploy machine learning modelsintermediate
• improve search relevance and rankingintermediate
• define evaluation metricsintermediate
• define benchmarksintermediate
• collaborate with multi-functional teamsintermediate

Required Qualifications

• Bachelors in Computer Science, Machine Learning, or a related field (degree in computer science)
• 5+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems (experience, 5 years)
• Strong programming skills in C/C++ or Python, and experience with ML frameworks (experience)
• Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval (experience)
• Excellent communication and collaboration skills. (experience)

Preferred Qualifications

• Advance degree in Computer Science, Machine Learning, or a related field (degree in computer science)
• Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. (experience)
• Experience working with transformer-based models (e.g., BERT, T5) in a search context (experience)
• Prior industry experience on personal search systems (experience)
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems (experience)

Responsibilities

• As a member of our fast-paced group, you’ll have the unique and great opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding intelligent search experiences.
• This role will have the following responsibilities:
• - Analyze search ranking and relevance requirements, issues and opportunities
• - Identify areas of improvement in our search pipeline and lead projects from research to production.
• - Design, train, and deploy machine learning models to improve search relevance and ranking.
• - Define evaluation metrics and benchmarks for search quality.
• - Collaborate with multi-functional teams including: product, design, and data engineering.
• - Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases.

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