AIML - Sr. Machine Learning Engineer, Search Quality - Answers, Knowledge u0026 Information (AKI)

Apple • Cupertino, CA

74d

About The Position

We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction! 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.

Requirements

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

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.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees