JobsStaff Machine Learning Engineer
Job description
Join the ADP ML Data Platform team at Apple, where you will work on cutting-edge ML infrastructure and generative AI technologies. This role focuses on building robust systems that connect scalable data pipelines with advanced ML workflows to accelerate AI application development. You will play a key role in shaping how AI models are built, optimized, and scaled, while collaborating with a world-class team. The position offers the autonomy to experiment and the support to take innovative ideas from prototype to production.
Requirements
- Strong foundation in machine learning with hands-on experience across the end-to-end ML workflow.
- Expertise in building and running large scale distributed systems.
- Familiarity with modern generative techniques such as transformers and diffusion.
- Proven experience building and delivering data and machine learning infrastructure in real-world production environments.
- Familiarity with fine-tuning workflows, model optimization, and preparing models for scalable inference.
- Extensive programming experience in Java, Python, or Go.
- Strong collaboration and communication skills.
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.
Responsibilities
- Develop a platform for ML data and features that powers advanced GenAI applications.
- Accelerate the development of real-world AI applications by connecting data pipelines with ML workflows.
- Shape how AI models are built, optimized, and scaled.
- Experiment with and innovate on ML technologies to enhance machine learning workflows.
- Configure, deploy, and troubleshoot large scale production environments.
- Design, build, and maintain scalable, highly available systems that prioritize ease of use.
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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