AIML - Machine Learning Engineer, Machine Learning Platform Technology & Infrastructure

Key Skills

Aartificial intelligence, AWS, Azure, C Programming, C++, Cloud computing, Data pipelines, Debugging, Effective communication skills, GoLang, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, MapReduce, Python Programming, Rust

Job Description

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.

Key Qualifications

• Strong background in ML
• Proven coding skills with at least one of the following programming languages: Go, Java, Python, Scala, C/C++, Rust
• Phenomenal interpersonal skills is required; able to work independently as well as in a team
• 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 is a plus
• Proficiency with distributed computing platform and technologies such as AWS, GCP, Kubernetes, MapReduce, or similar
• Experience designing and implementing large scale data pipelines

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. Apple’s most meaningful resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Education & Experience

Bachelors or Masters Degree in Computer Science/Engineering, or equivalent experience.