461 jobs for "Senior Machine Learning Systems Engineer"

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 optimizing high-impact business processes & mitigating fraud, waste and abuse while empowering our customers and internal partners. The SDS software engineering team is building systems that enable large-scale supply chain and fulfillment optimizations, providing Apple extraordinary cost, labor, and environmental savings. We work side-by-side with machine learning engineers and business teams to 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

The SDS Fulfillment team builds the systems that automate and optimize Apple's order fulfillment and supply chain operations, improving the customer experience while driving essential cost, labor, and carbon savings. 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 that directly impact our customers and company revenue.

You will be:
• Developing and implementing production software for optimizing & automating business processes
• Responsible for system architecture design with a focus on durability, reliability, concurrency, and performance under peak loads, such as product launches
• 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 fulfillment & supply chain processes
• Lead the team to increase the level of maturity and skill in analytical software development
• Responsible for release engineering, including CI/CD pipelines, automated testing, safe rollouts with feature flags, database schema migrations, and observability tooling

Preferred Qualifications

Some experience with Docker, Kubernetes, or cloud platform deployment

Familiarity with event-driven architectures and durable workflow orchestration frameworks (like Temporal) to coordinate complex, long-running processes

Experience with Relational databases and NoSQL databases, including schema design, query performance and migrations

Demonstrated understanding of the full software development lifecycle: design, testing, CI/CD, release, monitoring and production support

Experience designing, building and scaling high-throughput distributed systems in production

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 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

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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