Software Engineer, Apple Pay

Summary

Posted: Feb 22, 2025
Weekly Hours: 40
Role Number:200591397

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Imagine what you could do here. Bring passion and dedication to your job and there’s no telling what you could accomplish. The Apple Pay Server team is a rare engineering group within Apple. We provide critical services for the company across every product line. From manufacturing to customer facing, our services span across the entire lifecycle of most Apple hardware. By crafting and implementing services that are tightly coupled with hardware, we support the ongoing need to improve security of customer’s sensitive data (financial or otherwise) and privacy. Many of our services are seen in the iOS Security Guide and are publicly discussed on Internet forums.

Description

Apple Pay brought mobile payment to millions of customers, and it’s just the beginning. We are looking for engineers who are equally comfortable working at the bits and bytes level and designing state-of-the-art objected-oriented web services. The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that support the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. As a member of the Apple Pay engineering team, you will collaborate closely with teams throughout the organization to design, develop and deploy advanced machine learning and data solutions utilized in our outstanding Apple Pay services. You will play a pivotal role in shaping the future of our processes, infrastructure and software for developing, testing, tuning and deploying machine learning models for computer vision. Your responsibilities will encompass designing and implementing ML/data infrastructure, platforms, and solutions tailored to our specific needs. This will involve developing infrastructure and platforms that empower others and facilitate collaboration to address a wide range of challenges within multifaceted production environments. You will be closely working with machine learning engineers, data scientists, software engineers to ensure a flawless integration and operation. Additionally, you will explore opportunities within our production and development processes to leverage computer vision, deep learning and other ML/software tools to drive continuous improvements and innovation.

Minimum Qualifications

• Solid software development skills in one or more general purpose languages such as Python, Java or Swift, adhering to the best coding practices
• Experience with object oriented analysis and design
• Proficient in network infrastructure, databases, telemetry, containerization and cloud technologies.
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in Machine Learning Operations (MLOps) in deploying, operationalizing, and maintaining scalable AI/ML.
• Familiarity with data processing and ETL technologies, including NumPy, Pandas, Amazon S3, Kafka, Airflow, Kubeflow, Dataflow, etc.
• Basic knowledge of Machine Learning concepts and frameworks.
• Strong communication, collaboration & interpersonal skills
• BS degree in computer science or equivalent field plus 5-8 years of software development experience or equivalent experience

Preferred Qualifications

• Experience in machine learning, data science, statistics, computer vision, image processing
• Experience with building biometric fraud systems, digital identity management

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.