Sr Staff Machine Learning Engineer, ML Platform

At Apple, we work every day to create products that enrich people’s lives. Apple

Ads makes it possible for people around the world to easily access informative

and imaginative content on their devices while helping publishers and developers

promote and monetize their work. Today, our technology and services power

advertising in Search Ads, App Store, and Apple News. Our platforms are

highly-performant, deployed at scale, and setting new standards for enabling

effective advertising while protecting user privacy. The Machine Learning

Platform team’s mission is to empower teams at Apple Ads to easily and rapidly

develop, deploy and operate innovative ML applications at scale by providing a

self-serve, unified platform with foundational infrastructure in model training,

inference and agentic AI, as well as associated data and application services.

Are you a results-oriented and versatile engineer who can excel in an Agile

environment? You will work closely with other ML engineers and scientists to

design, develop, and build world-class platform capabilities that will enable

Apple Ads teams to improve and scale our ML features, models, and applications.

DESCRIPTION

The ML Platform team is responsible for bringing numerous features to

advertisers and consumers while simultaneously supporting scalable modeling and

continuous experimentation by all Apple Ads teams. As a key contributor to this

team, you will design and develop model training and fine-tuning infrastructure

at scale. You will enjoy building high-performing, elegant machine learning

systems from the ground up, in close partnerships with various teams, both

within and outside Apple Ads. You will also possess keen judgment in selecting

technologies and building the right solution for the interesting challenges we

get to tackle here. You will have the opportunity to define and refine

architectures to meet the unique ad network challenges we must solve. You will

play a meaningful role building machine learning products which deliver on

Apple's privacy commitments and change the way advertising works with data. Join

us and contribute to a culture that emphasizes reliability, simplicity, and

scalability. You will join a team of world-class machine learning engineers

hungry to apply leading-edge technologies to deliver extraordinary experiences

to our customers. We are one team, nurturing each other’s growth and supporting

each other in delivering for our customers!

MINIMUM QUALIFICATIONS

Experience building shared ML platforms, frameworks or services used by multiple

teams or organizations. Deep understanding of the ML lifecycle, including

training pipelines, evaluation methodologies, and deployment patterns. Deep

understanding of deep learning architectures (Transformers, LLMs, DNNs) and

training frameworks (TensorFlow, PyTorch) Prior experience applying ML at scale

in Ads, recommender systems, information retrieval or related domains. Prior

experience in distributed training at scale and optimization techniques like

model pruning, compression, quantization & distillation. Prior experience

building AI/ML tooling for model fine-tuning and training, and/or infrastructure

at scale Ability to communicate effectively, both written and verbal, with

technical and non-technical multi-functional teams Results oriented with strong

technical leadership skills and a desire to work in a fast-paced collaborative

work environment Curious business attitude with a proven ability to seek

projects with a sense of ownership.

PREFERRED QUALIFICATIONS

Prior experience in privacy-preserving ML using techniques such as federated

learning and differential privacy Experience with LLM training and inference —

pre-training, SFT, verifiable RL rewards, inference-Familiarity with Agentic AI

PhD/MS/BS in Computer Science or related field with 10+ years of industry

experience in building ML systems