AIML - Backend Engineer, Measurement

Key Skills

Aartificial intelligence, AWS, Azure, C++, Docker, GoLang, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, NoSQL, Python Programming, Scala Programming, SQL

Job Description

As a Backend Engineer in AIML Measurement, you will:

Develop and maintain systems to assess the quality and safety of Apple products, 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 products, 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.
• Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.