Senior Software Engineer - Strategic Data & ML Tools

Apple, Inc.; Jackson (TN); On-site; USD 140,000 - 180,000; Full time

Job summary

Apple, Inc. is seeking a Software Engineer for the Strategic Data Solutions (SDS) team to build analytic tools and scalable systems that enable fraud mitigation and data-driven decision making across Apple Retail and fraud prevention efforts.

You will collaborate with ML engineers and software engineers to design and implement production software, lead architecture, and drive ML operations initiatives. The role requires strong programming skills and a track record with large-scale data.

Qualifications

• BS or advanced degree in Computer Science, related field or equivalent experience
• Mastery of one of Java, Python, or equivalent language
• Experience with Big Data & building ETL Data Pipelines
• Experience with messaging systems, such as Kafka

Responsibilities

• Developing production software for retail ML initiatives and preventing retail 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
• Responsible for Release engineering and ML Operations
• Lead the team to increase the level of maturity and skill in analytical software development

Skills

Java

Python

Problem solving

Communication skills

CS fundamentals

Education

BS or advanced degree in Computer Science or related field

Tools

Docker

Kubernetes

Cloud platforms (AWS/GCP)

Relational databases

NoSQL databases

Kafka

ETL Data Pipelines

Big Data

Job description

Apple, Inc. is seeking a Software Engineer for the Strategic Data Solutions (SDS) team to build analytic tools and scalable systems that enable fraud mitigation and data-driven decision making across Apple Retail and fraud prevention efforts.

You will collaborate with ML engineers and software engineers to design and implement production software, lead architecture, and drive ML operations initiatives. The role requires strong programming skills and a track record with large-scale data.