AIML - Intern (Machine Translation), Siri Language Technologies

Key Skills

AWS, Data pipelines, Distributed computing, Google Cloud Platform (GCP), Kubernetes-K8s, Language modeling, Large data sets, MapReduce, Natural Language Processing (NLP), Python Programming, Statistical modeling

Job Description

The AI/ML Global Product Experience team creates groundbreaking user experiences across Siri markets using natural language processing (NLP), machine learning (ML) and modern software development techniques. The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices. As part of this group, you will work in one of the most exciting environments with state of the art ML and NLP models applied to production problems. We build ML technologies that scale to all Siri languages and beyond. You will have the opportunity to innovate with multilingual NLP models to help Siri understand different languages better.

Key Qualifications

• In depth knowledge of innovative large language models and machine translation models
• Experience with modern ML frameworks, like TensorFlow or PyTorch
• Sound programming skills in Python
• Excellent interpersonal skills; able to work in a team as well as independently; can take feedback and iterate on a solution in a collaborative environment
• Experience working with non-English corpora and understanding of the complexities and tradeoffs involved when scaling to non-English languages

Description

In Global Siri, we are responsible for the end to end user experience in all Siri markets. This means we build new features and scale them across Siri languages. As a machine translation intern in Global Siri, you will help us build ML solutions to scale new features and utterance understanding faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams.

Specific responsibilities include:

• Improve existing machine translation and paraphrasing systems by proposing and implementing state of the art solutions
• Find innovative solutions for lower resourced languages and grammatically complex languages - Evaluate machine translation performance across multiple locales using automated approaches and feedback from language experts
• Communicate and share your findings with the larger ML community and Global Siri teams at Apple If this sounds of interest to you, we would love to hear from you!

Education & Experience

In-depth academic experience in Machine Translation, NLP or related field

Additional Requirements

• Publications demonstrating innovative research in deep learning and statistical machine learning
• Experience in deploying and shipping ML and/or NLP based applications
• Exposure to working with large scale data pipelines, distributed computing platform and technologies such as AWS, GCP, Kubernetes, MapReduce or similar