Sr Machine Learning Engineer - ML Platform

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

Apple Ads group 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 the App Store, Apple Maps, and Apple News. Our

platforms are highly-performant, deployed at scale, and setting new standards

for enabling effective advertising while protecting user privacy. The Apple Ads

Machine Learning Platform team's mission is to empower Ads teams to build and

scale the innovative ML systems that deliver highly optimized advertising

content to consumers. Are you a results-oriented and versatile engineer who can

excel in a fast-paced environment? You will work closely with ML engineers and

scientists to design, develop, and build world-class platform capabilities that

will enable 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 Ads teams. As a key contributor to this team,

you will design and develop secure and scalable back-end systems. You will enjoy

building high-performing, elegant systems from the ground up, in close

partnerships with various teams. You will also possess keen judgment in

selecting technologies and building the right solutions for the unique ad

network challenges we face. 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 writing mission-critical code for production machine learning systems

Experience building ML infrastructure, frameworks or services used by multiple

teams Experience building SDKs, API, and automation UIs used by development

teams Proven experience building automation and CI/CD Passionate about improving

the developer experience for AI/ML practitioners Solid understanding of the ML

lifecycle: training, evaluation, deployment and serving/inferencing, with

working experience building and deploying models Solid understanding of model

evaluation, train-serve skew and data drift Working knowledge of deep learning

architectures and training frameworks such as PyTorch or TensorFlow Prior

experience applying ML at scale in advertising, recommender systems, information

retrieval or related domains Strong problem solving, debugging and performance

tuning skills Results oriented, with the ability to communicate effectively,

both written and verbal, with technical and non-technical multi-functional teams

Product-minded with a proven ability to seek projects with a sense of ownership

PREFERRED QUALIFICATIONS

Experience in advertising industry Experience with distributed training and/or

optimizing large-scale models for low-latency serving Experience building

infrastructure for diverse sets of model development use cases including LLMs,

multimodal models, classical ML, and reinforcement learning. Experience building

and/or operationalizing foundation models Experience with agentic AI Prior

experience in privacy-preserving ML Education & Experience PhD in Computer

Science or related field with 3+ years of engineering experience and 5+ years of

machine learning experience; or MS in Computer Science or related field with 6+

years of engineering experience and 5+ years of machine learning experience; or

BS in Computer Science or related field with 7+ years of engineering experience

and 5+ years of machine learning experience