Job description

As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and Generative AI. The software you build will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we’re building the most effective solutions possible. Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience 3+ years professional software engineering experience working in Python or other object-oriented programming language(s) Demonstrated ability to write applications in a high-level programming language like Python, Ruby, Java, etc. Excellent written and verbal communication skills to both technical and non-technical audiences Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines Experience with data analysis, processing, analytics, and visualization to drive data-based decision making Experience with evaluating complex AI systems, producing actionable hypotheses, and assessing their validity Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity Ability to architect complex systems in a reusable, modular way Curiosity to learn new technologies and passion for sharing that knowledge with others

Requirements

Must-haves

Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience
3+ years professional software engineering experience working in Python or other object-oriented programming language(s)
Demonstrated ability to write applications in a high-level programming language like Python, Ruby, Java, etc.
Excellent written and verbal communication skills to both technical and non-technical audiences
Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience
Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines
Experience with data analysis, processing, analytics, and visualization to drive data-based decision making
Experience with evaluating complex AI systems, producing actionable hypotheses, and assessing their validity
Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity
Ability to architect complex systems in a reusable, modular way
Curiosity to learn new technologies and passion for sharing that knowledge with others

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonjavamlkubernetes

Platform: apple
Effort: medium