AIML - Staff Machine Learning Engineer - Search and Knowledge Quality
Apple
                            
                            Seattle, Washington, U.S.
                        
                        
                            
                            Full-time, Regular
                        
                        
                            
                            
                                Posted Aug 10, 2025
                            
                        
                    Onsite
                        
                    Compensation
                                    
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                            About the role
The Search and Knowledge Quality Team at Apple is seeking exceptional Machine Learning Engineers to join our prestigious group of world-class experts specializing in large-scale data management and machine learning systems
Responsibilities
- Design and develop features for platforms that manage complex data structures
 - Collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction
 - Focus on question answering, assistant response ranking, summarization, and search technologies
 
Requirements
- 15+ years industry experience
 - Excellent programming skills in mainstream programming languages
 - Experience working with large data sets and end-to-end pipelines
 - Working experience with natural language processing and machine learning frameworks
 - Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
 
Benefits
- Comprehensive medical and dental coverage
 - Retirement benefits
 - Range of discounted products and free services
 - Reimbursement for certain educational expenses
 - Discretionary bonuses or commission payments
 - Relocation assistance
 
About the Company
Apple is a technology company that designs, manufactures, and markets consumer electronics, computer software, and online services
Job Details
Salary Range
$201,300 - $367,400/yearly
Location
Seattle, Washington, U.S.
Employment Type
Full-time, Regular
Original Posting
View on company website