Software Developer in Test, Applied ML Analytics
Apple
Software Engineering, Data Science
Cupertino, CA, USA
Posted on Feb 22, 2025
Summary
Posted:
Weekly Hours: 40
Role Number:200592462
Together we craft products and experiences people once couldn’t have imagined — and now can’t imagine living without! If you’re excited by the idea of making a real impact, and joining a team where we pride ourselves on being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! The Wallet, Payment and Commerce teams Quality Engineering teams are responsible for the quality of Wallet and payment products for the Apple WPC Organization. For this creation of role we are looking for a Senior Engineer in charge of redefining the testing approach and develop new frameworks and tools leveraging new technologies.
Description
As Apple Pay Software Developer in Test Engineers, we work closely with developers, data scientists, external partners, and other quality engineers to guarantee high quality products, as well as ensure existing features meet our customer’s expectations in each software release. To be successful in this role you should be experienced developer with strong Data Science fundamentals as well as programming fundamentals. This role involves collaboration with teams at Apple focused developing automated solutions to test on Device Insights products. You will: Develop tools, metrics, and datasets for assessing and evaluating the accuracy of On-device Insights testing. Architect and develop scalable platforms to support the deployment and operation of Apple Pay ML services and applications. Own the design and implementation of distributed systems that are resilient and secure. Troubleshoot complex infrastructure issues, ensuring efficient performance and reliability across multi-cloud environments.
Minimum Qualifications
- In-depth knowledge and experience on Test Automation planning, execution, and triage for projects on client to server.
- Practical experience running machine learning models and evaluating them for quality and performance metrics.
- Comfortable working in a continually changing and multifaceted environment and driving top issues to resolution
- Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity.
- Proficient in one of more: Swift, Python, Scala
- Excellent data analytical skills, Experience in Data mining tooling
- Ability to work collaboratively with multiple teams
- Familiarity with monitoring and observability tools to ensure high availability.
- BS or MS in Computer Science, related technical field or equivalent experience
Key Qualifications
Preferred Qualifications
- Understand CI/CD, Familiarity with cloud technologies like Docker, Kubernetes, AWS EKS for scalable deployment.
- Passion to building scalable software solutions for testing
- Knowledge and experience in one or more of the following technologies: Hadoop ecosystem, Kafka, Cassandra, SQL
- iOS development experience (a passion for)
Education & Experience
Additional Requirements
Pay & Benefits
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.