Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

7d

About The Position

Imagine what you could do here. At Apple, revolutionary ideas have a way of
becoming extraordinary products, services, and customer experiences. Join the Ai
Data Platform Applied Machine Learning team to pioneer enterprise solutions
where generative AI meets Apple's unique commitment to privacy-first innovation.
Together, we'll create tools that redefine industries while safeguarding what
matters most – our users' trust.

DESCRIPTION

As a pivotal member of Apple’s enterprise generative AI efforts, you will help
design, build, and evolve platforms and applications that power high-impact AI
experiences across the company. You will contribute to the architecture and
optimization of systems built for high availability, scalability, and
reliability, working across backend services and application layers. Our team
designs and implements scalable RESTful APIs, services, and platform components
primarily using Python. We tackle unique challenges in privacy-preserving
generation, efficient inference, and multimodal integration, while enabling
teams to build on top of our foundations. We deliver production-grade systems
and models that meet Apple’s rigorous standards for quality, performance, and
scalability.

Requirements

• Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience Hands-on experience in machine learning and/or backend development in industry

Nice To Haves

• MS in Computer Science, Machine Learning, or a related quantitative field
• Experience with microservices architecture and distributed systems Experience in ML frameworks (PyT orch, JAX) for training, fine-tuning, and deploying ML/generative models at scale Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP , Azure) or on-prem infrastructure

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees