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APPLE

Do you want to make Siri and Apple products smarter for our users? Here in the Machine Learning

Platform Technology group we build groundbreaking technology for algorithmic search, machine

learning, natural language processing, and artificial intelligence. The features we build are redefining

how hundreds of millions of people use their computers and mobile devices to search and find what

they are looking for. The universal search engine we build powers search features across a variety of

Apple products, including Siri, Spotlight, Safari, Apple Music, the App Store, and many more. As part of

this group, you will work with one of the most exciting high performance computing environments on

Apple’s search product, with petabytes of data, millions of queries per second, and have an opportunity

to imagine and build products that delight our customers every single day.

In this role working on search you will work at the intersection between quality and performance,

optimizing the high performance components that serve our indexes for large amounts of traffic, working

on retrieval infrastructure to improve relevance for users inside the constraints that come with a high

throughput index serving infrastructure, designing and implementing retrieval augmented generation

that is fed by our search systems.

Designing features and systems that enable to perform retrieval on large token and embeddings-

based indexes

Optimizing throughput of the queries, analyzing how to let ranking engineers improve the relevance

within the latency and budget envelope

Streamlining onboarding and experimentation experience to our search systems to empower other

teams to more efficiently use our components and iterate faster on their relevance improvements

Improving data structures and algorithms to reduce the cost of serving large indexes

Proven experience with at least one of the following programming languages: Go, Java, C/C++, Rust

Strong background in computer science: algorithms and data structures•

Phenomenal interpersonal skills is required; able to work independently as well as in a team

Bachelor's or Master’s degree in Computer Science/Engineering, or equivalent experience.

Experience with information retrieval, ML applied to search

Exposure to the challenges of scalable backend infrastructure and performance and how to

diagnose, analyse, and resolve them with knowledge of profiling, debugging, tracing tools

Proficiency with distributed computing platform and technologies such as AWS, GCP, Kubernetes,

MapReduce, or similar

Experience designing and implementing large scale data pipelines

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we

are, what we’ve experienced, and how we think. Because to create products that serve everyone, we

believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally.

We will work with applicants to make any reasonable accommodations