370 jobs for "Software Engineer, Machine Learning Infrastructure"

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 (SDS) 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 ML initiatives for Apple Retail and Fraud prevention efforts of SDS.

You will be:
• Developing and implementing 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
• Expected to operate independent of supervision, with limited guidance
• Lead the team to increase the level of maturity and skill in analytical software development

Preferred Qualifications

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

Minimum 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

8+ years of experience in software engineering/data science

Experience building data science or data analysis tools on AWS/GCP/Cloud based systems

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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