Machine Learning Engineer, Machine Learning Platform Technology & Infrastructure

Apple Inc.; Zürich; Vor Ort; CHF 100’000 - 150’000; Vollzeit

Zusammenfassung

A leading technology company is seeking a Machine Learning Engineer to enhance the capabilities of Siri and other Apple products. This role involves building transformative infrastructure, analyzing massive datasets, and applying advanced machine learning techniques to improve search functionalities. Candidates should have a strong foundation in ML algorithms and programming in relevant languages.

Qualifikationen

• Strong knowledge of machine learning algorithms and coding skills in Go, Java, Python, Scala, C/C++, Rust.
• Experience with distributed computing and scalable backend infrastructure.

Aufgaben

• Design and build infrastructures for Siri features.
• Analyze data to improve search relevance.
• Work with large scale systems and applied machine learning techniques.

Kenntnisse

Machine Learning

Data Analysis

Interpersonal Skills

Tools

AWS

GCP

Kubernetes

MapReduce

Jobbeschreibung

Machine Learning Engineer, Machine Learning Platform Technology & Infrastructure

Do you want to make Siri and Apple products smarter for our users? Here in the Machine Learning Platform Technology & Infrastructure 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. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of this group, you will work with one of the most exciting high performance computing environments, 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.

Description

We design and build infrastructures to support features that empowers billions of Siri users. Our team processes tens of trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity. In particular you will work at the intersection between quality and performance, applying machine learning techniques to improve the search relevance inside the constraints that come with a high throughput index serving infrastructure.

Minimum Qualifications

• Strong background in ML, with excellent knowledge and good practical skills in major machine learning algorithm
• Industry experience coding skills with at least one of the following programming languages: Go, Java, Python, Scala, C/C++, Rust
• Established experience in algorithms and data structures
• Good interpersonal skills is required; able to work independently as well as in a team

Preferred Qualifications

• Experience with information retrieval, RAG, ML applied to search or ads
• Excellent data analytical skills
• 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