AIML - Backend Engineer, Measurement

Would you like a chance to create a significant impact, working alongside world-class experts and using innovative technologies to push the boundaries of what's possible? At Apple, we believe in creating technology that enriches lives and empowers creativity. You’ll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.

Description

As a Backend Engineer in AIML Measurement, you will: - Develop and maintain systems to assess the quality and safety of Apple Intelligence, ensuring our AI/ML models meet the highest standards. - Create robust data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making. - Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. - Design and implement scalable backend systems that support measurement and optimization efforts, ensuring performance and reliability. - Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions. - Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease. - Continuously seek ways to enhance measurement frameworks, adopting best practices and integrating the latest advancements in technology.

Minimum Qualifications

2+ years in backend engineering with experience in large-scale software system design and implementation. Proficiency in languages such as Python, Java, GoLang, C++ or Scala. Experience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, GCP). Record of building high-quality, highly scalable backend software systems. Ability to tackle complex challenges, think critically, and deliver innovative solutions. Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment. Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines. Previous experience in a high-growth tech company or similar environment. Active participation in open-source projects related to AI/ML or backend development. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code. Master or Ph.D. in a related field.