AIML - Backend Engineer, Data Generation & Verification

Requirements

• PhD in Computer Science, Machine Learning, Statistics, Math, Physics or related field, or equivalent work experience
• Proven experience of backend engineering experience with cloud-based services
• Proficiency in Python and Golang for backend development
• Experience with AWS services including Lambda and RDS/Aurora

Nice to Haves

• Strong foundation in applied statistics and machine learning fundamentals
• Proven experience in data annotation, data quality, or related ML value chain roles
• Experience building and scaling web-based platforms for machine learning workflows
• Advanced knowledge of statistical methods for data quality assessment
• Experience with distributed systems and microservices architecture
• Background in annotation workflow optimization
• Track record of research publications or patents in data quality or machine learning
• Experience working in cross-functional teams with both technical and non-technical stakeholders

What You'll Be Doing

• Model great software engineering practices by producing well-tested, performant, and reliable code
• Design, build, and evolve the backend of quality and scoring systems
• Engage in architecture and code reviews, pair programming, and design discussions
• Work across team and organizational boundaries to solve complex problems
• Constantly seek areas of improvement and help deepen team expertise

Perks and Benefits

• Contribute to the foundation of Apple's AI and machine learning capabilities
• Directly impact the quality of data used for training models across Apple's product ecosystem