Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years of experience in software engineering/data science
- Education
- BS or advanced degree in Computer Science, related field or equivalent experience
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Role Summary
The Software Engineer on Apple’s Strategic Data Solutions team builds systems and tools that support fraud prevention and fraud analytics. The role works closely with Machine Learning Engineers and other Software Engineers on production software and scalable analytical systems.
What You'll Do
- Develop and implement production software for preventing fraud.
- Design system architecture.
- Coordinate with external infrastructure teams to develop infrastructure needs.
- Identify opportunities to automate and improve tools.
- Develop and implement process improvements to improve the efficiency and stability of fraud analytics.
- Provide technical leadership to data scientists, advance analytical software development maturity, and handle release engineering.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or advanced degree in Computer Science or a related field, or equivalent experience; mastery of Python, Java, Scala, C++ or an equivalent language; 4+ years of experience in software engineering/data science; experience building data science or data analysis tools on Hadoop or cloud-based systems.
Preferred
- Some experience with Docker, Kubernetes, or cloud platform deployment
- Experience with Relational databases and NoSQL databases
- Demonstrated understanding of the full software development lifecycle
- Excellent problem solving, critical thinking, and communication skills
- Solid grasp of computer science fundamentals including data structures and algorithms
- Solid ability to evaluate and apply new technologies in a short time
- Self-motivated, proactive, and solution-oriented
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment?
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS.
You will be:
• Developing and implementing production software for preventing fraud
• Responsible for system architecture design
• Working with external infrastructure teams to drive the development of infrastructure needs
• Innovating by recognizing opportunities for automation and tools improvements
• Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
• Responsible for technical leadership for a team of data scientists
• Lead the team to increase the level of maturity and skill in analytical software development
• Responsible for release engineering
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Python, Java, Scala, C++ or equivalent language
4+ years of experience in software engineering/data science
Experience building data science or data analysis tools on Hadoop/cloud based systems
Preferred Qualifications
Some experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.