Machine Learning Engineer

The people here at Apple don't just build products- they craft the kind of wonder that has revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it A job at Apple is unlike any other you've had. You will be challenged. You will be inspired. And you'll be proud At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish

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.

Apple Ads Team is seeking a Machine Learning Engineer who will help build numerous features to advertisers and consumers while simultaneously supporting scalable modelling and continuous experimentation.

Description

Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.

Preferred Qualifications

5+ years of experience in building large scale distributed systems.

Results oriented with a desire to work in a fast-paced and collaborative work environment

Prior experience in the advertising industry is a plus

BS, MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimisation, Reinforcement Learning or related field with experience building large-scale production systems

Minimum Qualifications

3+ years of experience in building machine learning models.

Proficiency in data processing technologies (e.g Kafka, Spark, Flink)

Experience building and fine-tuning machine learning models

Prior experience with Python & Java/Scala/C++ or equivalent.

Experience with the model development lifecycle

Experience with machine learning libraries and frameworks

Experience writing machine learning applications and mission-critical code for production machine learning systems

Experience building and scaling cloud-based architectures

Experience building AI/ML tooling and/or infrastructure

Experience working on distributed systems where scalability and performance are critical

Pride in building tools to automate routine tasks, organised & detailed

Familiarity with cloud paradigms (e.g AWS or GCP)

Strong problem-solving and debugging skills.

Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.

A desire to work in a fast-paced and challenging work environment.","internalDetails":null,"eeoContent":null