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

Apple, Inc.; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Apple Inc. seeks an AI Data Platform expert to design, build, and evolve models, tools, and applications for enterprise AI experiences while prioritizing privacy and user trust. You will influence architecture and deployment strategies across backend services to enable reliable, scalable gen AI solutions.

You will contribute to production-grade models and platforms, tackling challenges in safety, privacy-preserving generations, and efficient inference, with strong collaboration across teams.

Qualifications

• 2+ years of hands-on applied AI/ML experience in industry or 4+ years in academia
• Expertise in generative AI, computer vision, NLP, or ML with a problem-solving mindset
• BS in CS/ML or equivalent; MS/PhD strongly preferred
• Experience with ML frameworks for training, fine-tuning, and deployment at scale
• Proven track record of enterprise-grade ML/Gen‑AI products in cloud or on‑prem environments

Responsibilities

• Design, build, and evolve models, tools, and applications powering high-impact AI experiences across the company
• Contribute to architecture and optimization of AI/gen AI systems for high availability, scalability, and reliability
• Work across backend services and application layers to deliver production-grade gen AI capabilities

Skills

Generative AI

Problem solving

Team collaboration

Education

BSc in Computer Science / ML

MS/PhD in ML/NLP/CV (preferred)

Tools

AWS/GCP/Azure

Job description

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.

As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build, and evolve models, tools and applications that power high-impact AI experiences across the company. You will contribute to the architecture and optimization of AI/gen AI systems built for high availability, scalability, and reliability, working across backend services and application layers.

You would solve AI problems in gen AI Safety, machine translation, content understanding, multi-modality, multi-agent systems, fine tuning and more.

Our team designs and implements SOTA AI Models, services, and AI platform components that advance adoption of gen AI at apple. We tackle unique AI challenges in AI Safety, privacy-preserving generations, 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.

2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia

Demonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning with a passion for problem solving

Bachelor of Science in Computer Science, Machine Learning or equivalent experience work experience

MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or related areas strongly preferred

Experience in ML frameworks for training, fine-tuning, and deploying ML/generative models at scale

Proven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud environments (AWS, GCP , Azure) or on-prem infrastructure